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c6c3724fdadfb1341756ca4a
train
function
def parse_args(): # pylint: disable=I0011,R0915 """ Command line parsing code""" class LoadFromJson(argparse.Action): # pylint: disable=I0011,R0903 """ argparse action to support reading options from a json dictionary. """ def __call__(self, parser, namespace, values, o...
def parse_args(): # pylint: disable=I0011,R0915
""" Command line parsing code""" class LoadFromJson(argparse.Action): # pylint: disable=I0011,R0903 """ argparse action to support reading options from a json dictionary. """ def __call__(self, parser, namespace, values, option_string=None): for key, value in values.iteritems(): ...
create the page, but we also need to create any pages between the # last page and this one, and ensure that we end on an even page. # Spreads are also an issue - if the page we are looking for is not there # because the page before was a double-spread, then something has gone wrong and we # should fail...
256
256
2,100
17
239
richardkchapman/BlurbFlow
flowblurb.py
Python
parse_args
parse_args
432
592
432
432
ade3ca63dc5be364a6ed13431180f518510bcc59
bigcode/the-stack
train
4b40421156501bc00367048f
train
function
def create_backup(extracted): """ Create a backup of the bbf2.xml in old_bbfs/bbf2_000000000<n>.xml """ backup_path = extracted + "/old_bbfs" if not os.path.exists(backup_path): os.makedirs(backup_path) next_file = 1 while True: backup_file = "%s/bbf2_%.10d.xml" % (backup_path, next_...
def create_backup(extracted):
""" Create a backup of the bbf2.xml in old_bbfs/bbf2_000000000<n>.xml """ backup_path = extracted + "/old_bbfs" if not os.path.exists(backup_path): os.makedirs(backup_path) next_file = 1 while True: backup_file = "%s/bbf2_%.10d.xml" % (backup_path, next_file) if not os.path.e...
% \ (name, ppi, width, height)) elif ppi > args.max_ppi: print ('Resolution too high for %s (%d ppi) - ideal size (%d,%d)' % \ (name, ppi, width, height)) def create_backup(extracted):
64
64
129
6
58
richardkchapman/BlurbFlow
flowblurb.py
Python
create_backup
create_backup
686
697
686
686
f7c9eabb90eeb641c362cd250db84364d1d8faf6
bigcode/the-stack
train
96a86899edc2c985525b4f59
train
function
def add_title_page(doc, args, pageno): """ Add a section title page. """ page = find_page(doc, pageno) title = args.section_title container = ET.SubElement(page, 'container', { "transform": "1 0 0 1", "type": "text", "x": str(args.right if pageno%2 == 0 else args.left), "y": str(...
def add_title_page(doc, args, pageno):
""" Add a section title page. """ page = find_page(doc, pageno) title = args.section_title container = ET.SubElement(page, 'container', { "transform": "1 0 0 1", "type": "text", "x": str(args.right if pageno%2 == 0 else args.left), "y": str(args.top), "width": str(args.pa...
for image in images: this_section = exiftool.get_tag(image.src, args.section_field) if this_section in sections: sections[this_section].append(image) else: sections[this_section] = [image] return sections def add_title_page(doc, args, pagen...
64
64
210
11
52
richardkchapman/BlurbFlow
flowblurb.py
Python
add_title_page
add_title_page
868
883
868
868
03996d124e1f6021213e31a05053f68795738cfc
bigcode/the-stack
train
cc9dc4909d254dcfc1ae3f10
train
function
def find_sections(args, images): """ Map images to sections using specified exif field. """ sections = {} with ExifTool(executable=args.exiftool) as exiftool: for image in images: this_section = exiftool.get_tag(image.src, args.section_field) if this_section in sections: ...
def find_sections(args, images):
""" Map images to sections using specified exif field. """ sections = {} with ExifTool(executable=args.exiftool) as exiftool: for image in images: this_section = exiftool.get_tag(image.src, args.section_field) if this_section in sections: sections[this_section...
_dir = tempfile.mkdtemp() istemp = True if args.input: extractBlurbFiles.extract(args.input, args.output_dir) create_backup(args.output_dir) else: initialize_blurb_directory(args.output_dir, args) return istemp def find_sections(args, images):
64
64
94
7
56
richardkchapman/BlurbFlow
flowblurb.py
Python
find_sections
find_sections
856
866
856
856
64fae5a4c46f1f8cfbef29c4089722d09fffd284
bigcode/the-stack
train
abe8248a4197b07abb0ba3b0
train
function
def fuzzy_sort_coarse(image, pano_threshold): """ A very fuzzy sort by aspect ratio - portrait then square then landscape then pano""" if image.width > image.height*pano_threshold: return 2 elif image.width > image.height: return 1 elif image.width < image.height: return -1 e...
def fuzzy_sort_coarse(image, pano_threshold):
""" A very fuzzy sort by aspect ratio - portrait then square then landscape then pano""" if image.width > image.height*pano_threshold: return 2 elif image.width > image.height: return 1 elif image.width < image.height: return -1 else: return 0
and an indication of whether last row is complete. Note that this is destructive in that the builder is not usable afterwards. """ pages = self.get_pages(pagenos[:]) return (sum(1 for _ in pages), self.incomplete) def fuzzy_sort_coarse(image, pano_threshold):
64
64
78
10
54
richardkchapman/BlurbFlow
flowblurb.py
Python
fuzzy_sort_coarse
fuzzy_sort_coarse
234
243
234
234
8848f25126004973f2a8d2b67fe6e99a0649f2b6
bigcode/the-stack
train
6c6e2931e4623abdacbfacf0
train
class
class PageBuilder(object): """ Populate images onto pages. """ def __init__(self, args, images): self.args = args self.images = images[::-1] # reverses the list, not in-place self.page_height = args.page_height-(args.top+args.bottom) self.incomplete = True def _row_width(sel...
class PageBuilder(object):
""" Populate images onto pages. """ def __init__(self, args, images): self.args = args self.images = images[::-1] # reverses the list, not in-place self.page_height = args.page_height-(args.top+args.bottom) self.incomplete = True def _row_width(self, row): num_deltas...
#!/usr/bin/env python from __future__ import print_function """ Populate a blurb book automatically using a 500px-like algorithm""" import argparse import glob import os import sys import math import uuid import collections import json import tempfile import shutil import subprocess import random import threading from ...
167
256
2,030
5
162
richardkchapman/BlurbFlow
flowblurb.py
Python
PageBuilder
PageBuilder
29
232
29
29
478e01b412d0d27194a335ad30be816c0be2bc0d
bigcode/the-stack
train
3401642acf7fc524d2a87e0d
train
function
def initialize_blurb_directory(path, args): """ Create a blank blurb directory.""" width, height, name = PRESETS.get(args.format) if not os.path.exists(path): os.makedirs(path) with open(path+'/.version', 'w') as version_file: version_file.write('4\n') project_image = Image.new('RGB'...
def initialize_blurb_directory(path, args):
""" Create a blank blurb directory.""" width, height, name = PRESETS.get(args.format) if not os.path.exists(path): os.makedirs(path) with open(path+'/.version', 'w') as version_file: version_file.write('4\n') project_image = Image.new('RGB', (139, 120), "white") # Size not critical ...
: exif tag %s not found in %d of %d images' % \ (args.sort, exiftool.missing_tags, len(images))) return images else: return images PRESETS = { 'small-square': (495, 495, 'square'), 'standard-landscape': (693, 594, 'landscape'), 'standard-portrait': (585...
180
180
602
9
171
richardkchapman/BlurbFlow
flowblurb.py
Python
initialize_blurb_directory
initialize_blurb_directory
786
834
786
786
9cd22d9470492554d0acac02ed082fa6db4c77cd
bigcode/the-stack
train
8de3f0ee4a09bb2713d1f3bc
train
function
def fuzzy_sort_fine(image): """ A slightly less fuzzy sort by aspect ratio""" return round(float(image.width)/image.height)
def fuzzy_sort_fine(image):
""" A slightly less fuzzy sort by aspect ratio""" return round(float(image.width)/image.height)
then square then landscape then pano""" if image.width > image.height*pano_threshold: return 2 elif image.width > image.height: return 1 elif image.width < image.height: return -1 else: return 0 def fuzzy_sort_fine(image):
64
64
28
7
56
richardkchapman/BlurbFlow
flowblurb.py
Python
fuzzy_sort_fine
fuzzy_sort_fine
245
247
245
245
ed2ac851817d5f4b5118cfcd9d9f39e1a3c68a3b
bigcode/the-stack
train
2a3ce0dfa98786b37393cb8a
train
function
def empty_pages(doc): """ Returns all empty pages in the original Blurb doc. """ for page in doc.findall('.//section/page'): if not page.findall('container'): yield page
def empty_pages(doc):
""" Returns all empty pages in the original Blurb doc. """ for page in doc.findall('.//section/page'): if not page.findall('container'): yield page
Unexpected page number') for page in range(last+1, (pageno+1)/2 * 2 + 1): ET.SubElement(section, 'page', {'color':'#00000000', 'number': str(page)}) return find_page(doc, pageno) def empty_pages(doc):
64
64
42
5
59
richardkchapman/BlurbFlow
flowblurb.py
Python
empty_pages
empty_pages
421
425
421
421
48b7841316213e1dc4ab490b4bc88eea85810016
bigcode/the-stack
train
1882992835d184e0e996e608
train
class
class ExifTool(object): """ Read exif data using exiftool. Derived from a suggestion at http://stackoverflow.com/questions/10075115/call-exiftool-from-a-python-script. """ sentinel = "{ready}\n" def __init__(self, executable="exiftool"): self.executable = executable sel...
class ExifTool(object):
""" Read exif data using exiftool. Derived from a suggestion at http://stackoverflow.com/questions/10075115/call-exiftool-from-a-python-script. """ sentinel = "{ready}\n" def __init__(self, executable="exiftool"): self.executable = executable self.process = None ...
if self.all_rows: for row in self.all_rows: self._unget_all_row(row) self._unget_all_row(self.last_row) for row in self.next_row: self._unget_all_row(row) self.all_rows = None self.last_row = None ...
105
105
351
6
99
richardkchapman/BlurbFlow
flowblurb.py
Python
ExifTool
ExifTool
357
401
357
357
0270fc81d432e877a02687a1c8d74c2d700a23d2
bigcode/the-stack
train
9cf03884cfba375cf7ce7398
train
function
def populate_section(doc, args, pagenos, images, previews): """ Populate all images for a single section. """ images = sort_images(images, args) if args.section_start == 'even' or args.section_start == 'full': while pagenos and (pagenos[0] % 2 == 1): pagenos.pop(0) if args.section_st...
def populate_section(doc, args, pagenos, images, previews):
""" Populate all images for a single section. """ images = sort_images(images, args) if args.section_start == 'even' or args.section_start == 'full': while pagenos and (pagenos[0] % 2 == 1): pagenos.pop(0) if args.section_start == 'odd' or args.section_start == 'full': while ...
else: break print ('Optimized image height is %d' % (args.image_height)) if args.random: print ('Optimized seed %s' % (args.random)) print ('Optimization incomplete: %d' % (incomplete)) return populate_pages(args, images, pagenos) def populate_section(doc, args, pagenos, imag...
83
83
279
15
68
richardkchapman/BlurbFlow
flowblurb.py
Python
populate_section
populate_section
944
969
944
944
971b9a3a51e7c2cd37021162e06f7a1a3c843d81
bigcode/the-stack
train
f0d1f43d2febef2957134a9b
train
function
def load_media(project_dir, image_list): """ Load and/or populate blurb media registry. """ if os.path.isfile(project_dir+'/media_registry.xml'): media = ET.parse(project_dir+'/media_registry.xml') else: root = ET.Element('medialist') for elem in ['images', 'video', 'audio', 'text']:...
def load_media(project_dir, image_list):
""" Load and/or populate blurb media registry. """ if os.path.isfile(project_dir+'/media_registry.xml'): media = ET.parse(project_dir+'/media_registry.xml') else: root = ET.Element('medialist') for elem in ['images', 'video', 'audio', 'text']: ET.SubElement(root, elem) ...
os.makedirs("%s/images" % (project_dir)) link_or_copy(image_name, "%s/images/%s.%s" % (project_dir, guid, ext)) # creation of the thumbnails deferred until merge time changed = True return changed def load_media(project_dir, image_list):
64
64
122
9
54
richardkchapman/BlurbFlow
flowblurb.py
Python
load_media
load_media
736
747
736
736
7f78ba2f13496e170c31fd4e72b9e9b0a8b28284
bigcode/the-stack
train
3060d112abb41034f9b3c363
train
function
def populate_single_page(args, count, images, pagenos): """ Return a generator that scales all supplied images to fit on fixed number of pages.""" def _try_it(): builder = make_builder(args, images) page_count, incomplete = builder.get_page_count(pagenos) return (page_count, incomplete) ...
def populate_single_page(args, count, images, pagenos):
""" Return a generator that scales all supplied images to fit on fixed number of pages.""" def _try_it(): builder = make_builder(args, images) page_count, incomplete = builder.get_page_count(pagenos) return (page_count, incomplete) while True: page_count, incomplete = _try_i...
title) def make_builder(args, images): """ Return a PageBuilder object appropriate for given args.""" if args.smart: return SmartPageBuilder(args, images) else: if args.reverse: images = images[::-1] return PageBuilder(args, images) def populate_pages(args, images, pag...
108
108
361
14
94
richardkchapman/BlurbFlow
flowblurb.py
Python
populate_single_page
populate_single_page
898
942
898
898
e38bd48c84bc1b0b602c04129948e9fef5db4050
bigcode/the-stack
train
51ed1e099569a4ce2af43d02
train
class
class SmartPageBuilder(PageBuilder): """ Populate images onto pages, trying to do so intelligently. Smart algorithm mk 2: Sort by aspect ratio Generate rows that attempt to scale equally (based on aspect ratio of first image in row) (note that average might be better but harder as we...
class SmartPageBuilder(PageBuilder):
""" Populate images onto pages, trying to do so intelligently. Smart algorithm mk 2: Sort by aspect ratio Generate rows that attempt to scale equally (based on aspect ratio of first image in row) (note that average might be better but harder as we don't know what images are in the ro...
.args.odd_only or self.args.even_only): populated = self.next_page(page_width, pageno, first) first = False if populated: del pagenos[0:i] i = 0 yield (populated, pageno, double) ...
256
256
1,047
7
249
richardkchapman/BlurbFlow
flowblurb.py
Python
SmartPageBuilder
SmartPageBuilder
249
355
249
249
d417f2e53a5df39bea29cc4d7486e6b24269cbf9
bigcode/the-stack
train
6191dff638c297d8cb532f82
train
function
def link_or_copy(source, dest): """ Symlink a file if we can, else copy it.""" os_symlink = getattr(os, "symlink", None) if callable(os_symlink): os_symlink(source, dest) else: shutil.copyfile(source, dest)
def link_or_copy(source, dest):
""" Symlink a file if we can, else copy it.""" os_symlink = getattr(os, "symlink", None) if callable(os_symlink): os_symlink(source, dest) else: shutil.copyfile(source, dest)
_file = "%s/bbf2_%.10d.xml" % (backup_path, next_file) if not os.path.exists(backup_file): shutil.copyfile(extracted+"/bbf2.xml", backup_file) break next_file += 1 def link_or_copy(source, dest):
64
64
62
8
55
richardkchapman/BlurbFlow
flowblurb.py
Python
link_or_copy
link_or_copy
699
705
699
699
8c65e27070fba1fdc61e8b294eeb9c0d63c1c590
bigcode/the-stack
train
bfb87a3138a85ff99541d0d2
train
function
def main(): """ Main code. """ args = parse_args() istemp = initialize_output_directory(args) xml_parser = ET.XMLParser(remove_blank_text=True) doc = ET.parse(args.output_dir+'/bbf2.xml', xml_parser) if args.page_width == -1: args.page_width = float(doc.getroot().get('width')) if arg...
def main():
""" Main code. """ args = parse_args() istemp = initialize_output_directory(args) xml_parser = ET.XMLParser(remove_blank_text=True) doc = ET.parse(args.output_dir+'/bbf2.xml', xml_parser) if args.page_width == -1: args.page_width = float(doc.getroot().get('width')) if args.page_heigh...
all images for multiple sections. """ sections_map = find_sections(args, images) if not args.sections: args.sections = sorted(sections_map.keys()) for section in args.sections: section_args = argparse.Namespace(**vars(args)) setattr(section_args, 'section_title', section) if...
141
141
470
3
138
richardkchapman/BlurbFlow
flowblurb.py
Python
main
main
987
1,031
987
987
5c2d003e3f46063507de00dae5ca1a15a3cda59b
bigcode/the-stack
train
7aeb7ecd29875da900f7d374
train
function
def sort_images(images, args): """ Sort images according to requested order. """ if args.random: random.seed(args.random) random.shuffle(images) if args.sort: if args.sort == 'name': return sorted(images, key=lambda image: image.src) elif args.sort == 'date': ...
def sort_images(images, args):
""" Sort images according to requested order. """ if args.random: random.seed(args.random) random.shuffle(images) if args.sort: if args.sort == 'name': return sorted(images, key=lambda image: image.src) elif args.sort == 'date': return sorted(images, k...
elem in ['images', 'video', 'audio', 'text']: ET.SubElement(root, elem) media = ET.ElementTree(root) if image_list and populate_media(project_dir, media, image_list): media.write(project_dir+'/media_registry.xml', pretty_print=True) return media def sort_images(images, args):
70
70
236
7
62
richardkchapman/BlurbFlow
flowblurb.py
Python
sort_images
sort_images
749
773
749
749
d2174c6727b0696b6b83317db63499c6935ad4c1
bigcode/the-stack
train
6dc1d96db441805f86d3d056
train
function
def populate_media(project_dir, media, images): """ Add listed images to the media_registry xml. """ (parent,) = media.xpath('./images') changed = False for image_name in images: image_name = os.path.abspath(image_name) if not media.xpath('.//images/media[@src=\'%s\']' % image_name): ...
def populate_media(project_dir, media, images):
""" Add listed images to the media_registry xml. """ (parent,) = media.xpath('./images') changed = False for image_name in images: image_name = os.path.abspath(image_name) if not media.xpath('.//images/media[@src=\'%s\']' % image_name): img = Image.open(image_name) ...
next_file += 1 def link_or_copy(source, dest): """ Symlink a file if we can, else copy it.""" os_symlink = getattr(os, "symlink", None) if callable(os_symlink): os_symlink(source, dest) else: shutil.copyfile(source, dest) def populate_media(project_dir, media, images):
79
79
266
10
69
richardkchapman/BlurbFlow
flowblurb.py
Python
populate_media
populate_media
707
734
707
707
021de27af5babc60506374f9b6d4c89e158a2b6a
bigcode/the-stack
train
ee02519f0464f1e5da226174
train
class
class ReadIOInfoOnNFS(object): def __init__( self, mount_point, yaml_fname=IO_INFO_FNAME, ): self.yaml_fname = yaml_fname self.file_op = FileOps(self.yaml_fname, type="yaml") self.mount_point = mount_point self.base_dirs = [] self.files = [] d...
class ReadIOInfoOnNFS(object):
def __init__( self, mount_point, yaml_fname=IO_INFO_FNAME, ): self.yaml_fname = yaml_fname self.file_op = FileOps(self.yaml_fname, type="yaml") self.mount_point = mount_point self.base_dirs = [] self.files = [] def initialize_verify_io(self): ...
import logging import os import sys sys.path.append(os.path.abspath(os.path.join(__file__, "../../../"))) import v2.utils.utils as utils from v2.lib.exceptions import TestExecError from v2.utils.utils import FileOps IO_INFO_FNAME = "io_info.yaml" log = logging.getLogger() class ReadIOInfoOnNFS(object):
76
177
591
9
67
viduship/ceph-qe-scripts
rgw/v2/tests/nfs_ganesha/verify_on_nfs.py
Python
ReadIOInfoOnNFS
ReadIOInfoOnNFS
16
84
16
16
8ffece3030c9da24add493fc317868a7d5b8a686
bigcode/the-stack
train
c5a3ba2cb320e5dc867ecae8
train
function
def voice_toggle(request): if 'voice_toggle' in request.session: return request.session['voice_toggle']=='true' else: return False
def voice_toggle(request):
if 'voice_toggle' in request.session: return request.session['voice_toggle']=='true' else: return False
from .models import Odai def common(request): context = { "odais": Odai.objects.all().order_by("-id"), "voice_toggle": voice_toggle(request) } return context def voice_toggle(request):
50
64
32
5
44
agajo/oogiridojo_app_on_django
context_processors.py
Python
voice_toggle
voice_toggle
10
14
10
10
94a0442d15270df396127596209518d02675e273
bigcode/the-stack
train
74689ead7ab5b5efd6d69dc9
train
function
def common(request): context = { "odais": Odai.objects.all().order_by("-id"), "voice_toggle": voice_toggle(request) } return context
def common(request):
context = { "odais": Odai.objects.all().order_by("-id"), "voice_toggle": voice_toggle(request) } return context
from .models import Odai def common(request):
11
64
38
4
6
agajo/oogiridojo_app_on_django
context_processors.py
Python
common
common
3
8
3
3
c6f7e4084c9f80f1fbe8936ad8c9fdb9b92ad746
bigcode/the-stack
train
ff688d10217a6e82f4ec51b3
train
function
def get_drugs(): json_data = json.load(urlopen(rest_api)) return json_data
def get_drugs():
json_data = json.load(urlopen(rest_api)) return json_data
import json from urllib.request import urlopen from django.conf import settings # get rest endpoint from settings rest_api = settings.DJANGOPHARMA_REST_URL # get all data from rest service def get_drugs():
50
64
21
5
44
thodoris/djangoPharma
djangoPharma/drugs/restService.py
Python
get_drugs
get_drugs
9
11
9
9
e3fcaf23fc0c983abf72d663cfc16935dd694c7f
bigcode/the-stack
train
717f2769bce29135cba83704
train
function
def get_drug_by_id(drug_id): urlpath = rest_api + '/' + drug_id rest_result = urlopen(urlpath) resp = json.load(rest_result) return resp
def get_drug_by_id(drug_id):
urlpath = rest_api + '/' + drug_id rest_result = urlopen(urlpath) resp = json.load(rest_result) return resp
_drugs() for drug in json_data: del drug['barcode'] del drug['producer'] del drug['price_wholesale'] del drug['price_retail'] return json_data # get a drug by id (from REST API) def get_drug_by_id(drug_id):
64
64
43
10
54
thodoris/djangoPharma
djangoPharma/drugs/restService.py
Python
get_drug_by_id
get_drug_by_id
27
31
27
27
800442317e6838a432abeaa4a907ab41d042d307
bigcode/the-stack
train
b5c9d04ab733a5635cf7d58b
train
function
def get_drugs_index(): json_data = get_drugs() for drug in json_data: del drug['barcode'] del drug['producer'] del drug['price_wholesale'] del drug['price_retail'] return json_data
def get_drugs_index():
json_data = get_drugs() for drug in json_data: del drug['barcode'] del drug['producer'] del drug['price_wholesale'] del drug['price_retail'] return json_data
.DJANGOPHARMA_REST_URL # get all data from rest service def get_drugs(): json_data = json.load(urlopen(rest_api)) return json_data # returns a drug dict (drug id , drug , name) # by removing unwanted fields def get_drugs_index():
64
64
54
6
57
thodoris/djangoPharma
djangoPharma/drugs/restService.py
Python
get_drugs_index
get_drugs_index
16
23
16
16
189f835bba25c23fa6907026d90ff283712ff937
bigcode/the-stack
train
595c70bac50ec1efdf955d22
train
class
class Kubernetes(AgentCheck): """ Collect metrics and events from Kubernetes """ pod_names_by_container = {} def __init__(self, name, init_config, agentConfig, instances=None): if instances is not None and len(instances) > 1: raise Exception('Kubernetes check only supports one configur...
class Kubernetes(AgentCheck):
""" Collect metrics and events from Kubernetes """ pod_names_by_container = {} def __init__(self, name, init_config, agentConfig, instances=None): if instances is not None and len(instances) > 1: raise Exception('Kubernetes check only supports one configured instance.') AgentC...
# seconds NET_ERRORS = ['rx_errors', 'tx_errors', 'rx_dropped', 'tx_dropped'] DEFAULT_ENABLED_GAUGES = [ 'memory.usage', 'filesystem.usage'] GAUGE = AgentCheck.gauge RATE = AgentCheck.rate HISTORATE = AgentCheck.generate_historate_func(["container_name"]) HISTO = AgentCheck.generate_histogram_func(["contai...
256
256
4,892
6
250
chotiwat/integrations-core
kubernetes/datadog_checks/kubernetes/kubernetes.py
Python
Kubernetes
Kubernetes
68
563
68
68
83ef7fa86799f431691e6af64451ac38f885cc86
bigcode/the-stack
train
97f107b47ad4a74ce73340f9
train
function
def get(grid): visited = set() min_size = float("inf") for r in range(len(grid)): for c in range(len(grid[0])): size = explore_size(grid, r, c, visited) if size > 0 and size < min_size: min_size = size return min_size
def get(grid):
visited = set() min_size = float("inf") for r in range(len(grid)): for c in range(len(grid[0])): size = explore_size(grid, r, c, visited) if size > 0 and size < min_size: min_size = size return min_size
return the size of the smallest island. An island is a vertically or horizontally connected region of land. You may assume that the grid contains at least one island. - r = number of rows - c = number of columns - Time: O(rc) - Space: O(rc) """ def get(grid):
64
64
71
4
60
vitormeriat/basic_graph_algorithms
graph_algorithms/minimum_island.py
Python
get
get
17
25
17
17
82423cea04d81d5ddc9c52e24a52e3347d0359f9
bigcode/the-stack
train
3e91083c5002419509e41e2f
train
function
def explore_size(grid, r, c, visited): row_inbounds = 0 <= r < len(grid) col_inbounds = 0 <= c < len(grid[0]) if not row_inbounds or not col_inbounds: return 0 if grid[r][c] == 'W': return 0 pos = (r, c) if pos in visited: return 0 visited.add(pos) size = 1 ...
def explore_size(grid, r, c, visited):
row_inbounds = 0 <= r < len(grid) col_inbounds = 0 <= c < len(grid[0]) if not row_inbounds or not col_inbounds: return 0 if grid[r][c] == 'W': return 0 pos = (r, c) if pos in visited: return 0 visited.add(pos) size = 1 size += explore_size(grid, r - 1, c, v...
for r in range(len(grid)): for c in range(len(grid[0])): size = explore_size(grid, r, c, visited) if size > 0 and size < min_size: min_size = size return min_size def explore_size(grid, r, c, visited):
64
64
170
11
52
vitormeriat/basic_graph_algorithms
graph_algorithms/minimum_island.py
Python
explore_size
explore_size
28
47
28
28
098ff6854c93ffb470dd1ece5917e03b5a9cd9c8
bigcode/the-stack
train
7a5fb47c6049d961cbdfcca1
train
class
@attr.s(auto_attribs=True, on_setattr=DENON_ATTR_SETATTR) class DenonAVR(DenonAVRFoundation): """ Representing a Denon AVR Device. Initialize MainZone of DenonAVR. :param host: IP or HOSTNAME. :type host: str :param name: Device name, if None FriendlyName of device is used. :type name: st...
@attr.s(auto_attribs=True, on_setattr=DENON_ATTR_SETATTR) class DenonAVR(DenonAVRFoundation):
""" Representing a Denon AVR Device. Initialize MainZone of DenonAVR. :param host: IP or HOSTNAME. :type host: str :param name: Device name, if None FriendlyName of device is used. :type name: str or None :param show_all_inputs: If True deleted input functions are also shown :typ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ This module implements the interface to Denon AVR receivers. :copyright: (c) 2016 by Oliver Goetz. :license: MIT, see LICENSE for more details. """ import logging import time from typing import Dict, List, Optional import attr from .decorators import run_async_syn...
232
256
4,670
31
201
elad-bar/denonavr
denonavr/denonavr.py
Python
DenonAVR
DenonAVR
32
671
32
33
34b091d74773c02ee7e6ede8f65eb28fedea6f56
bigcode/the-stack
train
c785ff89fab8b48b9572292e
train
function
def PeterPan(): webbrowser.open(PP, new=new)
def PeterPan():
webbrowser.open(PP, new=new)
from tkinter import * import webbrowser from subprocess import call def LittlePrincess(): webbrowser.open(LP, new=new) def PeterPan():
31
64
14
4
27
UAEU-IRI/std_googleAssistant
GUI/ReemCodes/BabyG/AudioBooksBabyG.py
Python
PeterPan
PeterPan
8
9
8
8
dd2fd44d8381d81ba3571694e3b063bfc7fd78e9
bigcode/the-stack
train
409bc5abb14f1d254c57e6ca
train
function
def LittlePrincess(): webbrowser.open(LP, new=new)
def LittlePrincess():
webbrowser.open(LP, new=new)
from tkinter import * import webbrowser from subprocess import call def LittlePrincess():
17
64
14
4
12
UAEU-IRI/std_googleAssistant
GUI/ReemCodes/BabyG/AudioBooksBabyG.py
Python
LittlePrincess
LittlePrincess
5
6
5
5
26a98745e317f2c3449d388836a07c60b1ff8273
bigcode/the-stack
train
493c3ff975a45a3b05c15628
train
class
class GUI: def __init__(self, master): frame = Frame(master) frame.pack() frame.configure(background='white') self.button1 = Button(frame, bg="white", command=PeterPan) self.button1.config(image=photo1) self.button2 = Button(frame, bg="white", command=LittlePrincess) ...
class GUI:
def __init__(self, master): frame = Frame(master) frame.pack() frame.configure(background='white') self.button1 = Button(frame, bg="white", command=PeterPan) self.button1.config(image=photo1) self.button2 = Button(frame, bg="white", command=LittlePrincess) sel...
webbrowser.open(LP, new=new) def PeterPan(): webbrowser.open(PP, new=new) def Back(): root.destroy() call(['python', 'C:/Users/Reemy/Documents/GitHub/std_googleAssistant/GUI/Codes/BabyG/AppsBabyG.py']) class GUI:
64
64
109
3
61
UAEU-IRI/std_googleAssistant
GUI/ReemCodes/BabyG/AudioBooksBabyG.py
Python
GUI
GUI
15
25
15
15
f95c52033dd3851ad09d1a85654641858b127018
bigcode/the-stack
train
8f8f4094df4143ce97380550
train
function
def Back(): root.destroy() call(['python', 'C:/Users/Reemy/Documents/GitHub/std_googleAssistant/GUI/Codes/BabyG/AppsBabyG.py'])
def Back():
root.destroy() call(['python', 'C:/Users/Reemy/Documents/GitHub/std_googleAssistant/GUI/Codes/BabyG/AppsBabyG.py'])
from tkinter import * import webbrowser from subprocess import call def LittlePrincess(): webbrowser.open(LP, new=new) def PeterPan(): webbrowser.open(PP, new=new) def Back():
44
64
38
3
41
UAEU-IRI/std_googleAssistant
GUI/ReemCodes/BabyG/AudioBooksBabyG.py
Python
Back
Back
11
13
11
11
8dd28b075e9e37b00f25e754cbb58f204f35c147
bigcode/the-stack
train
def4fb8f82813c85c2163720
train
function
def main(req: func.HttpRequest) -> func.HttpResponse: logging.info('Python HTTP trigger function processed a request.') email = req.params.get('email') if not email: try: req_body = req.get_json() except ValueError: pass else: email = req_body.get...
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.') email = req.params.get('email') if not email: try: req_body = req.get_json() except ValueError: pass else: email = req_body.get('email') if email: steve_table = SteveTa...
import logging import datetime import azure.functions as func from steve_constants import TEST_MODE, ACCOUNT_KEY from steve_email import SteveSingleEmail from steve_table import SteveTable from steve_templates import generate_func_response def main(req: func.HttpRequest) -> func.HttpResponse:
62
133
446
13
48
Ssloto/SteveEmail
Unsubscribe/__init__.py
Python
main
main
11
58
11
11
97f12ec66cb6c7a0f0ae3ad06fbdd62614ab1a5b
bigcode/the-stack
train
f5303c9d930bad100103d494
train
class
class CryptoMKTHMACAuth(HMACAuth): api_key_header = "X-MKT-APIKEY" nonce_header = "X-MKT-TIMESTAMP" signature_header = "X-MKT-SIGNATURE" signature_delimiter = "" algorithm = "sha384" def _nonce(self): return self.timestamp.seconds() def build_message(self, r: P, nonce: str): ...
class CryptoMKTHMACAuth(HMACAuth):
api_key_header = "X-MKT-APIKEY" nonce_header = "X-MKT-TIMESTAMP" signature_header = "X-MKT-SIGNATURE" signature_delimiter = "" algorithm = "sha384" def _nonce(self): return self.timestamp.seconds() def build_message(self, r: P, nonce: str): path = urlsplit(r.path_url).path ...
.parse import urlsplit from requests import PreparedRequest as P from . import constants as _c from . import models as _m from .client_public import CryptoMKTPublic from ..auth import HMACAuth from ..base import AuthMixin class CryptoMKTHMACAuth(HMACAuth):
64
64
153
10
53
delta575/trading-api-wrappers
trading_api_wrappers/cryptomkt/client_auth.py
Python
CryptoMKTHMACAuth
CryptoMKTHMACAuth
13
32
13
14
e2e5b9421e65c1f32d404d092d8b1f7a8b241259
bigcode/the-stack
train
a869a9d9fc574b2a20001f89
train
class
class CryptoMKTAuth(CryptoMKTPublic, AuthMixin): auth_cls = CryptoMKTHMACAuth def __init__(self, key: str, secret: str, timeout: int = None, **kwargs): super().__init__(timeout, **kwargs) self.add_auth(key, secret) # BALANCE------------------------------------------------------------------...
class CryptoMKTAuth(CryptoMKTPublic, AuthMixin):
auth_cls = CryptoMKTHMACAuth def __init__(self, key: str, secret: str, timeout: int = None, **kwargs): super().__init__(timeout, **kwargs) self.add_auth(key, secret) # BALANCE------------------------------------------------------------------ def balance(self): data = self.get("...
import json from urllib.parse import urlsplit from requests import PreparedRequest as P from . import constants as _c from . import models as _m from .client_public import CryptoMKTPublic from ..auth import HMACAuth from ..base import AuthMixin class CryptoMKTHMACAuth(HMACAuth): api_key_header = "X-MKT-APIKEY"...
226
232
774
14
211
delta575/trading-api-wrappers
trading_api_wrappers/cryptomkt/client_auth.py
Python
CryptoMKTAuth
CryptoMKTAuth
35
160
35
35
6b0bebcfa23f3e6785888f1a6a61942c72aa8676
bigcode/the-stack
train
1f396dbe543bca18cd32d01f
train
function
def ReadCombiInfo(fileName) : infil = open(fileName, 'r') lines = infil.readlines() infil.close() infos = [] for lin in lines: tlst = lin.strip().split() info = float(tlst[1]) infos.append(info) return infos
def ReadCombiInfo(fileName) :
infil = open(fileName, 'r') lines = infil.readlines() infil.close() infos = [] for lin in lines: tlst = lin.strip().split() info = float(tlst[1]) infos.append(info) return infos
def getNameAct(conn): data = conn.GetData(table='raw_data', fields='mol_name,activity_class') nameAct = {} for dat in data : nameAct[dat[0]] = dat[1] return nameAct def ReadCombiInfo(fileName) :
64
64
66
9
54
Ivy286/cluster_basedfps
third_party_package/RDKit_2015_03_1/rdkit/ML/InfoTheory/testBitRanker.py
Python
ReadCombiInfo
ReadCombiInfo
31
40
31
31
ac4c8cddd84e95f309726e81daa9ea54ddb9398d
bigcode/the-stack
train
7492ed2c70713294af5e299a
train
function
def getNameAct(conn): data = conn.GetData(table='raw_data', fields='mol_name,activity_class') nameAct = {} for dat in data : nameAct[dat[0]] = dat[1] return nameAct
def getNameAct(conn):
data = conn.GetData(table='raw_data', fields='mol_name,activity_class') nameAct = {} for dat in data : nameAct[dat[0]] = dat[1] return nameAct
(table='signatures', fields='mol_name,fingerprint') fpMap = {} for dat in data : pkl = str(dat[1]) sbv = pickle.loads(pkl) fpMap[dat[0]] = sbv return fpMap def getNameAct(conn):
64
64
54
6
57
Ivy286/cluster_basedfps
third_party_package/RDKit_2015_03_1/rdkit/ML/InfoTheory/testBitRanker.py
Python
getNameAct
getNameAct
23
29
23
23
6b3855babf1648fc32fb3c3a6c3a32a3b42d6634
bigcode/the-stack
train
d09ba177ecc6a6125ac33818
train
class
class TestCase(unittest.TestCase): def setUp(self) : pass def test0Ranker(self) : nbits = 5000 dbName = os.path.join('../','test_data', 'FEW_CDK2.GDB') conn = DbConnect(dbName) fps = getFingerprints(conn) nameAct = getNameAct(conn) sl = len(fps.values()[0...
class TestCase(unittest.TestCase):
def setUp(self) : pass def test0Ranker(self) : nbits = 5000 dbName = os.path.join('../','test_data', 'FEW_CDK2.GDB') conn = DbConnect(dbName) fps = getFingerprints(conn) nameAct = getNameAct(conn) sl = len(fps.values()[0]) rnkr = InfoTheory.InfoBi...
DataStructs from rdkit.Dbase.DbConnection import DbConnect import os from rdkit.six.moves import cPickle as pickle def feq(v1,v2,tol2=1e-4): return abs(v1-v2)<=tol2 def getFingerprints(conn) : data = conn.GetData(table='signatures', fields='mol_name,fingerprint') fpMap = {} for dat in data : ...
256
256
917
7
248
Ivy286/cluster_basedfps
third_party_package/RDKit_2015_03_1/rdkit/ML/InfoTheory/testBitRanker.py
Python
TestCase
TestCase
42
131
42
42
84cbe76f69ca074015d389e7f879f8cdadeb19d9
bigcode/the-stack
train
8a6afd96d9078f857f05866d
train
function
def feq(v1,v2,tol2=1e-4): return abs(v1-v2)<=tol2
def feq(v1,v2,tol2=1e-4):
return abs(v1-v2)<=tol2
import unittest from rdkit.ML import InfoTheory from rdkit import DataStructs from rdkit.Dbase.DbConnection import DbConnect import os from rdkit.six.moves import cPickle as pickle def feq(v1,v2,tol2=1e-4):
64
64
27
16
47
Ivy286/cluster_basedfps
third_party_package/RDKit_2015_03_1/rdkit/ML/InfoTheory/testBitRanker.py
Python
feq
feq
11
12
11
11
5043cb60db0552209207b516ec6d669e80d0ce8d
bigcode/the-stack
train
9d497acc36d61f932b12b964
train
function
def getFingerprints(conn) : data = conn.GetData(table='signatures', fields='mol_name,fingerprint') fpMap = {} for dat in data : pkl = str(dat[1]) sbv = pickle.loads(pkl) fpMap[dat[0]] = sbv return fpMap
def getFingerprints(conn) :
data = conn.GetData(table='signatures', fields='mol_name,fingerprint') fpMap = {} for dat in data : pkl = str(dat[1]) sbv = pickle.loads(pkl) fpMap[dat[0]] = sbv return fpMap
Structs from rdkit.Dbase.DbConnection import DbConnect import os from rdkit.six.moves import cPickle as pickle def feq(v1,v2,tol2=1e-4): return abs(v1-v2)<=tol2 def getFingerprints(conn) :
64
64
71
7
56
Ivy286/cluster_basedfps
third_party_package/RDKit_2015_03_1/rdkit/ML/InfoTheory/testBitRanker.py
Python
getFingerprints
getFingerprints
14
21
14
14
d2231aad4cb3efeea84d904c4fec5e3a16ad336f
bigcode/the-stack
train
80c992d4107b6f35ff2f897b
train
class
@pulumi.input_type class MeshArgs: def __init__(__self__, *, name: Optional[pulumi.Input[str]] = None, spec: Optional[pulumi.Input['MeshSpecArgs']] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of argumen...
@pulumi.input_type class MeshArgs:
def __init__(__self__, *, name: Optional[pulumi.Input[str]] = None, spec: Optional[pulumi.Input['MeshSpecArgs']] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None): """ The set of arguments for constructing a Mesh resource...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
111
147
490
10
101
aamir-locus/pulumi-aws
sdk/python/pulumi_aws/appmesh/mesh.py
Python
MeshArgs
MeshArgs
15
68
15
16
b63e9385fab26da6e492e93ae43764e1d99e0109
bigcode/the-stack
train
579b111070824b1c115efd54
train
class
@pulumi.input_type class _MeshState: def __init__(__self__, *, arn: Optional[pulumi.Input[str]] = None, created_date: Optional[pulumi.Input[str]] = None, last_updated_date: Optional[pulumi.Input[str]] = None, mesh_owner: Optional[pulumi.Input[str]]...
@pulumi.input_type class _MeshState:
def __init__(__self__, *, arn: Optional[pulumi.Input[str]] = None, created_date: Optional[pulumi.Input[str]] = None, last_updated_date: Optional[pulumi.Input[str]] = None, mesh_owner: Optional[pulumi.Input[str]] = None, name: Optio...
The name to use for the service mesh. Must be between 1 and 255 characters in length. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def spec(self) -> Opti...
256
256
1,203
11
245
aamir-locus/pulumi-aws
sdk/python/pulumi_aws/appmesh/mesh.py
Python
_MeshState
_MeshState
71
204
71
72
79ab8eaafadf56b3231f0d349260b037bba9aeb6
bigcode/the-stack
train
bca8bab35233e6984c8e859d
train
class
class Mesh(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, name: Optional[pulumi.Input[str]] = None, spec: Optional[pulumi.Input[pulumi.InputType['MeshSpecArgs']]] = No...
class Mesh(pulumi.CustomResource): @overload
def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, name: Optional[pulumi.Input[str]] = None, spec: Optional[pulumi.Input[pulumi.InputType['MeshSpecArgs']]] = None, tags: Optional[pulumi.Input[...
[pulumi.Input[str]]: """ The resource owner's AWS account ID. """ return pulumi.get(self, "resource_owner") @resource_owner.setter def resource_owner(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_owner", value) @property @pulumi.getter ...
256
256
2,044
13
243
aamir-locus/pulumi-aws
sdk/python/pulumi_aws/appmesh/mesh.py
Python
Mesh
Mesh
207
442
207
208
28eaf8a622dc175a36a476efe1acf04bc9685498
bigcode/the-stack
train
ac6d1425f6dea68313736361
train
class
class MagicConfig(AppConfig): name = 'magic'
class MagicConfig(AppConfig):
name = 'magic'
from django.apps import AppConfig class MagicConfig(AppConfig):
13
64
12
6
6
Angoreher/xcero
magic/apps.py
Python
MagicConfig
MagicConfig
4
5
4
4
6444c0eb19edf060bc18a6a3a9d137f5e08c9317
bigcode/the-stack
train
c15a6fecfa4b26d962cb89e3
train
function
def _relocate_spliced_links(links, orig_prefix, new_prefix): """Re-linking function which differs from `relocate.relocate_links` by reading the old link rather than the new link, since the latter wasn't moved in our case. This still needs to be called after the copy to destination because it expects the...
def _relocate_spliced_links(links, orig_prefix, new_prefix):
"""Re-linking function which differs from `relocate.relocate_links` by reading the old link rather than the new link, since the latter wasn't moved in our case. This still needs to be called after the copy to destination because it expects the new directory structure to be in place.""" for link in l...
import symlink import spack.binary_distribution as bindist import spack.error import spack.hooks import spack.paths import spack.relocate as relocate import spack.stage import spack.store def _relocate_spliced_links(links, orig_prefix, new_prefix):
64
64
152
16
47
Loewe2/spack
lib/spack/spack/rewiring.py
Python
_relocate_spliced_links
_relocate_spliced_links
23
33
23
23
fd1b6e77f2d5908da40c2361b0b36454c53b47a9
bigcode/the-stack
train
883e570941bfd18e0a991dd4
train
class
class PackageNotInstalledError(RewireError): """Raised when the build_spec for a splice was not installed.""" def __init__(self, spliced_spec, build_spec, dep): super(PackageNotInstalledError, self).__init__( """Rewire of {0} failed due to missing install of build spec {1} ...
class PackageNotInstalledError(RewireError):
"""Raised when the build_spec for a splice was not installed.""" def __init__(self, spliced_spec, build_spec, dep): super(PackageNotInstalledError, self).__init__( """Rewire of {0} failed due to missing install of build spec {1} for spec {2}""".format(spliced_spec, bu...
ooks.post_install(spec) class RewireError(spack.error.SpackError): """Raised when something goes wrong with rewiring.""" def __init__(self, message, long_msg=None): super(RewireError, self).__init__(message, long_msg) class PackageNotInstalledError(RewireError):
64
64
89
9
55
Loewe2/spack
lib/spack/spack/rewiring.py
Python
PackageNotInstalledError
PackageNotInstalledError
122
128
122
122
9a09052ec8bcfa3b97480ef357e045737df15c17
bigcode/the-stack
train
b950eb9c9c7950e6e21905af
train
function
def rewire(spliced_spec): """Given a spliced spec, this function conducts all the rewiring on all nodes in the DAG of that spec.""" assert spliced_spec.spliced for spec in spliced_spec.traverse(order='post', root=True): if not spec.build_spec.package.installed: # TODO: May want to ch...
def rewire(spliced_spec):
"""Given a spliced spec, this function conducts all the rewiring on all nodes in the DAG of that spec.""" assert spliced_spec.spliced for spec in spliced_spec.traverse(order='post', root=True): if not spec.build_spec.package.installed: # TODO: May want to change this at least for the...
(os.path.join(orig_prefix, link)) link_target = re.sub('^' + orig_prefix, new_prefix, link_target) new_link_path = os.path.join(new_prefix, link) os.unlink(new_link_path) symlink(link_target, new_link_path) def rewire(spliced_spec):
64
64
145
7
57
Loewe2/spack
lib/spack/spack/rewiring.py
Python
rewire
rewire
36
49
36
36
0760d79e2430b4f400bcfa4b8133612f7448f048
bigcode/the-stack
train
19f6eb1d747462d204615485
train
function
def rewire_node(spec, explicit): """This function rewires a single node, worrying only about references to its subgraph. Binaries, text, and links are all changed in accordance with the splice. The resulting package is then 'installed.'""" tempdir = tempfile.mkdtemp() # copy anything installed to a ...
def rewire_node(spec, explicit):
"""This function rewires a single node, worrying only about references to its subgraph. Binaries, text, and links are all changed in accordance with the splice. The resulting package is then 'installed.'""" tempdir = tempfile.mkdtemp() # copy anything installed to a temporary directory shutil.co...
_prefix, link_target) new_link_path = os.path.join(new_prefix, link) os.unlink(new_link_path) symlink(link_target, new_link_path) def rewire(spliced_spec): """Given a spliced spec, this function conducts all the rewiring on all nodes in the DAG of that spec.""" assert spliced_spec....
188
188
627
8
180
Loewe2/spack
lib/spack/spack/rewiring.py
Python
rewire_node
rewire_node
52
113
52
52
1204faaef03ddc9ee1d6a4bfadd0ed1e96bfa84c
bigcode/the-stack
train
0ce00d290021dd957771894a
train
class
class RewireError(spack.error.SpackError): """Raised when something goes wrong with rewiring.""" def __init__(self, message, long_msg=None): super(RewireError, self).__init__(message, long_msg)
class RewireError(spack.error.SpackError):
"""Raised when something goes wrong with rewiring.""" def __init__(self, message, long_msg=None): super(RewireError, self).__init__(message, long_msg)
spack.store.layout.spec_file_path(spec)) # add to database, not sure about explicit spack.store.db.add(spec, spack.store.layout, explicit=explicit) # run post install hooks spack.hooks.post_install(spec) class RewireError(spack.error.SpackError):
64
64
50
11
53
Loewe2/spack
lib/spack/spack/rewiring.py
Python
RewireError
RewireError
116
119
116
116
3ce5749e2fdf8ca55df64b147fbbbd4be26cb7c1
bigcode/the-stack
train
a54de89aa81ea1fe578e07c9
train
function
def lazy_import(): from gooddata_afm_client.model.measure_result_header import MeasureResultHeader globals()['MeasureResultHeader'] = MeasureResultHeader
def lazy_import():
from gooddata_afm_client.model.measure_result_header import MeasureResultHeader globals()['MeasureResultHeader'] = MeasureResultHeader
Simple, cached_property, change_keys_js_to_python, convert_js_args_to_python_args, date, datetime, file_type, none_type, validate_get_composed_info, OpenApiModel ) from gooddata_afm_client.exceptions import ApiAttributeError def lazy_import():
64
64
32
4
59
hkad98/gooddata-python-sdk
gooddata-afm-client/gooddata_afm_client/model/measure_execution_result_header.py
Python
lazy_import
lazy_import
33
35
33
33
e14f72e3d8085c5b7e3627c189d9c9b4a2bb1b88
bigcode/the-stack
train
8f7e950db48856b767ff304c
train
class
class MeasureExecutionResultHeader(ModelNormal): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. Attributes: allowed_values (dict): The key is the tuple path to the attribute and the for var_name this is (v...
class MeasureExecutionResultHeader(ModelNormal):
"""NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. Attributes: allowed_values (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict with a c...
""" OpenAPI definition No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v0 Contact: support@gooddata.com Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sy...
218
256
1,987
8
209
hkad98/gooddata-python-sdk
gooddata-afm-client/gooddata_afm_client/model/measure_execution_result_header.py
Python
MeasureExecutionResultHeader
MeasureExecutionResultHeader
38
276
38
38
063dcaf569f135782ea0437a57bd7b4ad1b8519d
bigcode/the-stack
train
fc51672a8efd0bd1e3565597
train
function
def setup(client) -> None: """ Cog's setup function. """ client.add_cog(Games(client))
def setup(client) -> None:
""" Cog's setup function. """ client.add_cog(Games(client))
["emoji"] == slot2["emoji"] or slot2["emoji"] == slot3["emoji"]: return await msg.edit(embed=be) else: await SlothCurrency.update_user_money(ctx.author.id, -bet) return await msg.edit(embed=lost) def setup(client) -> None:
64
64
24
7
57
GNovaisLongue/sloth-bot
cogs/games.py
Python
setup
setup
513
516
513
513
2742eedc45b187eaa02d63a835ad511f9d97e452
bigcode/the-stack
train
9ef3352ec13eb2a28cf8fa31
train
class
class Games(*minigames_cogs): """ A category for a minigames. """ def __init__(self, client) -> None: """ Class init method. """ # Initiates all inherited cogs for minigame_cog in minigames_cogs: minigame_cog.__init__(self, client) self.client = client @command...
class Games(*minigames_cogs):
""" A category for a minigames. """ def __init__(self, client) -> None: """ Class init method. """ # Initiates all inherited cogs for minigame_cog in minigames_cogs: minigame_cog.__init__(self, client) self.client = client @commands.Cog.listener() async def...
import discord from discord.ext import commands from random import randint, sample, shuffle, choice import os import json from typing import List, Dict, Optional, Any, Union import asyncio from extra import utils from extra.slothclasses.player import Player from extra.minigames.connect_four import ConnectFour from ex...
132
256
5,052
9
123
GNovaisLongue/sloth-bot
cogs/games.py
Python
Games
Games
20
510
20
20
f5d2fa833ef23c8baa8d3d65363ad3cc8c487959
bigcode/the-stack
train
05741628b3ccaa5d502e236a
train
class
class MockPerpConnector(BacktestMarket, PerpetualTrading): def __init__(self): BacktestMarket.__init__(self) PerpetualTrading.__init__(self) self._funding_payment_span = [0, 10] def supported_position_modes(self): return [PositionMode.ONEWAY, PositionMode.HEDGE]
class MockPerpConnector(BacktestMarket, PerpetualTrading):
def __init__(self): BacktestMarket.__init__(self) PerpetualTrading.__init__(self) self._funding_payment_span = [0, 10] def supported_position_modes(self): return [PositionMode.ONEWAY, PositionMode.HEDGE]
from hummingsim.backtest.backtest_market import BacktestMarket from hummingbot.connector.perpetual_trading import PerpetualTrading from hummingbot.core.event.events import PositionMode class MockPerpConnector(BacktestMarket, PerpetualTrading):
54
64
75
15
38
coreydemarse/hummingbot
test/mock/mock_perp_connector.py
Python
MockPerpConnector
MockPerpConnector
6
13
6
6
d9f01cb0c76c03e309472314f9ad8b377f3830be
bigcode/the-stack
train
0d12451a5d42695802cd00f7
train
function
@app.post("/items/") async def create_item(item: Item): item_dict = item.dict() if item.tax: price_with_tax = item.price + item.tax item_dict.update({"price_with_tax": price_with_tax}) return item_dict
@app.post("/items/") async def create_item(item: Item):
item_dict = item.dict() if item.tax: price_with_tax = item.price + item.tax item_dict.update({"price_with_tax": price_with_tax}) return item_dict
typing import Optional from pydantic import BaseModel class Item(BaseModel): name: str description: Optional[str] = None price: float tax: Optional[float] = None app = FastAPI() @app.post("/items/") async def create_item(item: Item):
64
64
54
13
51
kaopanboonyuen/2110446_DataScience_2021s2
code/week11_airflow/fastapi/post.py
Python
create_item
create_item
17
23
17
18
502629d21cada9af9862a5a33ee3b0b895c125e5
bigcode/the-stack
train
a9ffa3fdf96765cfbf02de91
train
class
class Item(BaseModel): name: str description: Optional[str] = None price: float tax: Optional[float] = None
class Item(BaseModel):
name: str description: Optional[str] = None price: float tax: Optional[float] = None
# post example import uvicorn from fastapi import FastAPI from typing import Optional from pydantic import BaseModel class Item(BaseModel):
33
64
34
5
27
kaopanboonyuen/2110446_DataScience_2021s2
code/week11_airflow/fastapi/post.py
Python
Item
Item
9
13
9
9
e2b372a6ff508532593a8ced0cbe11e1c0180ec9
bigcode/the-stack
train
bb2aa43cbae5eb72d69b00e7
train
function
@app.get('/items/{item_id}') async def read_item(item_id: int): return { 'item_id': item_id }
@app.get('/items/{item_id}') async def read_item(item_id: int):
return { 'item_id': item_id }
create_item(item: Item): item_dict = item.dict() if item.tax: price_with_tax = item.price + item.tax item_dict.update({"price_with_tax": price_with_tax}) return item_dict @app.get('/items/{item_id}') async def read_item(item_id: int):
64
64
27
17
46
kaopanboonyuen/2110446_DataScience_2021s2
code/week11_airflow/fastapi/post.py
Python
read_item
read_item
25
27
25
26
fa809b8d88bae6e9e6ed1118a283129d96d6c3d2
bigcode/the-stack
train
f2cd0ce63bc64146e337f260
train
function
@pytest.mark.xfail # Update once ogr mocking problems are resolved def test_copr_pr_handle(pr_event, dump_http_com): config = dump_http_com(f"{Path(__file__).name}/pr_handle.yaml") flexmock(jobs.SteveJobs, config=config) # it would make sense to make LocalProject offline flexmock(PackitAPI).should_rec...
@pytest.mark.xfail # Update once ogr mocking problems are resolved def test_copr_pr_handle(pr_event, dump_http_com):
config = dump_http_com(f"{Path(__file__).name}/pr_handle.yaml") flexmock(jobs.SteveJobs, config=config) # it would make sense to make LocalProject offline flexmock(PackitAPI).should_receive("run_copr_build").with_args( owner="packit", project="packit-service-packit-342", chroots...
"github_pr_event.json").read_text()) @pytest.fixture() def release_event(): return json.loads((DATA_DIR / "webhooks" / "release_event.json").read_text()) @pytest.mark.xfail # Update once ogr mocking problems are resolved def test_copr_pr_handle(pr_event, dump_http_com):
64
64
185
27
37
phracek/packit-service
tests/integration/test_copr.py
Python
test_copr_pr_handle
test_copr_pr_handle
30
43
30
31
824540c395f05df50cf09ccf14a9d7d59e708a26
bigcode/the-stack
train
0631d69d1e5246573249c60f
train
function
@pytest.fixture() def release_event(): return json.loads((DATA_DIR / "webhooks" / "release_event.json").read_text())
@pytest.fixture() def release_event():
return json.loads((DATA_DIR / "webhooks" / "release_event.json").read_text())
it_service.worker.jobs import SteveJobs from packit_service.worker.whitelist import Whitelist from tests.spellbook import DATA_DIR @pytest.fixture() def pr_event(): return json.loads((DATA_DIR / "webhooks" / "github_pr_event.json").read_text()) @pytest.fixture() def release_event():
64
64
28
7
57
phracek/packit-service
tests/integration/test_copr.py
Python
release_event
release_event
25
27
25
26
e17518639e4a3441035d4f40aaa78e14aaf83ec6
bigcode/the-stack
train
339312785fb77208d73dfb92
train
function
@pytest.fixture() def pr_event(): return json.loads((DATA_DIR / "webhooks" / "github_pr_event.json").read_text())
@pytest.fixture() def pr_event():
return json.loads((DATA_DIR / "webhooks" / "github_pr_event.json").read_text())
packit_service.service.models import Model from packit_service.worker import jobs from packit_service.worker.handler import BuildStatusReporter from packit_service.worker.jobs import SteveJobs from packit_service.worker.whitelist import Whitelist from tests.spellbook import DATA_DIR @pytest.fixture() def pr_event():
64
64
29
7
56
phracek/packit-service
tests/integration/test_copr.py
Python
pr_event
pr_event
20
22
20
21
ceaf3f1fba1423c6ba7f34dba6c0ddd6c09e0142
bigcode/the-stack
train
631d273336d93f4b61fd4938
train
function
def test_wrong_collaborator(pr_event): packit_yaml = ( "{'specfile_path': '', 'synced_files': []" ", jobs: [{trigger: pull_request, job: copr_build, metadata: {targets:[]}}]}" ) copr_dict = { "login": "stevejobs", "username": "stevejobs", "token": "apple", "co...
def test_wrong_collaborator(pr_event):
packit_yaml = ( "{'specfile_path': '', 'synced_files': []" ", jobs: [{trigger: pull_request, job: copr_build, metadata: {targets:[]}}]}" ) copr_dict = { "login": "stevejobs", "username": "stevejobs", "token": "apple", "copr_url": "https://copr.fedorainfracloud...
owner="packit", project="packit-service-packit-342", chroots=["fedora-29-x86_64", "fedora-rawhide-x86_64", "fedora-30-x86_64"], ).and_return("1", "asd").once() flexmock(PackitAPI).should_receive("watch_copr_build").and_return("failed").once() jobs.SteveJobs().process_message(pr_event) def ...
105
105
352
9
96
phracek/packit-service
tests/integration/test_copr.py
Python
test_wrong_collaborator
test_wrong_collaborator
46
84
46
46
519885920b8c61fb5c6dd25702c3c2ccc49c4f31
bigcode/the-stack
train
0b69953c162c933c9adc5b59
train
class
class Projectile(object): def __init__(self,mass,velocity): self.mass = mass self.velocity = velocity
class Projectile(object):
def __init__(self,mass,velocity): self.mass = mass self.velocity = velocity
__all__ =['Projectile'] class Projectile(object):
12
64
26
4
8
xiaomiwujiecao/effectivePythonNote
50/mypackage/models.py
Python
Projectile
Projectile
3
6
3
3
4e237274e4d4fae59f0122f40545777a09e25047
bigcode/the-stack
train
ad5459038ecdabc0779c0451
train
function
def gen_encoded_password(formated_date): encoded = keys.businessShortCode + keys.lipaNaMpesaPassKey + formated_date encoded_string = base64.b64encode(encoded.encode()) passwrd = encoded_string.decode('utf-8') return passwrd
def gen_encoded_password(formated_date):
encoded = keys.businessShortCode + keys.lipaNaMpesaPassKey + formated_date encoded_string = base64.b64encode(encoded.encode()) passwrd = encoded_string.decode('utf-8') return passwrd
import requests import keys from datetime import datetime import base64 def gen_formated_timestamp(): unformatted_date = datetime.now() formated_date = unformatted_date.strftime('%Y%m%d%H%M%S') return formated_date def gen_encoded_password(formated_date):
63
64
60
8
54
karisayaa/DarajaApiBwa
lipanampesa.py
Python
gen_encoded_password
gen_encoded_password
14
18
14
14
0967d806433a4644370fb8793064a4e5bdeff953
bigcode/the-stack
train
47688b53ea80ab6c6cf5e8fe
train
function
def lipa_na_mpesa(): access_token = gen_access_token() api_url = "https://sandbox.safaricom.co.ke/mpesa/stkpush/v1/processrequest" headers = { "Authorization": "Bearer %s" % access_token } request = { "BusinessShortCode": keys.businessShortCode, "Password": passwd, "Timestamp": t...
def lipa_na_mpesa():
access_token = gen_access_token() api_url = "https://sandbox.safaricom.co.ke/mpesa/stkpush/v1/processrequest" headers = { "Authorization": "Bearer %s" % access_token } request = { "BusinessShortCode": keys.businessShortCode, "Password": passwd, "Timestamp": time_stp, "Tra...
://sandbox.safaricom.co.ke/oauth/v1/generate?grant_type=client_credentials" r = requests.get(api_URL, auth=HTTPBasicAuth(consumer_key, consumer_secret)) myaccess_token = r.json()['access_token'] return myaccess_token def lipa_na_mpesa():
64
64
192
7
56
karisayaa/DarajaApiBwa
lipanampesa.py
Python
lipa_na_mpesa
lipa_na_mpesa
37
57
37
37
df9e7e72e454d085a60290790f1d473cbe56b9e7
bigcode/the-stack
train
385d4154bab3d99869f7b65e
train
function
def gen_access_token(): consumer_key = keys.consumerKey consumer_secret = keys.consumerSecret api_URL = "https://sandbox.safaricom.co.ke/oauth/v1/generate?grant_type=client_credentials" r = requests.get(api_URL, auth=HTTPBasicAuth(consumer_key, consumer_secret)) myaccess_token = r.json()['acc...
def gen_access_token():
consumer_key = keys.consumerKey consumer_secret = keys.consumerSecret api_URL = "https://sandbox.safaricom.co.ke/oauth/v1/generate?grant_type=client_credentials" r = requests.get(api_URL, auth=HTTPBasicAuth(consumer_key, consumer_secret)) myaccess_token = r.json()['access_token'] return my...
_string = base64.b64encode(encoded.encode()) passwrd = encoded_string.decode('utf-8') return passwrd time_stp = gen_formated_timestamp() passwd = gen_encoded_password(time_stp) import requests from requests.auth import HTTPBasicAuth def gen_access_token():
64
64
85
6
57
karisayaa/DarajaApiBwa
lipanampesa.py
Python
gen_access_token
gen_access_token
27
35
27
27
fdbe18ddb73da4b018bdc7b651963c50a0a32c14
bigcode/the-stack
train
a2cd592122cd65bc280415d7
train
function
def gen_formated_timestamp(): unformatted_date = datetime.now() formated_date = unformatted_date.strftime('%Y%m%d%H%M%S') return formated_date
def gen_formated_timestamp():
unformatted_date = datetime.now() formated_date = unformatted_date.strftime('%Y%m%d%H%M%S') return formated_date
import requests import keys from datetime import datetime import base64 def gen_formated_timestamp():
21
64
40
6
14
karisayaa/DarajaApiBwa
lipanampesa.py
Python
gen_formated_timestamp
gen_formated_timestamp
8
11
8
8
1f7bf085cd960eb34aef231446dd384fe8790dcd
bigcode/the-stack
train
80404ad172fec4a542af23c4
train
class
class Gaussian(Distribution): """ Gaussian distribution, for unbounded continuous actions (specification key: `gaussian`). Args: name (string): Distribution name (<span style="color:#0000C0"><b>internal use</b></span>). action_spec (specification): Action specification ...
class Gaussian(Distribution):
""" Gaussian distribution, for unbounded continuous actions (specification key: `gaussian`). Args: name (string): Distribution name (<span style="color:#0000C0"><b>internal use</b></span>). action_spec (specification): Action specification (<span style="color:#0000C0...
# Copyright 2018 Tensorforce Team. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable la...
179
256
1,536
5
173
JNC96/tensorforce
tensorforce/core/distributions/gaussian.py
Python
Gaussian
Gaussian
25
174
25
25
f22cb14b0ada04a3b008d49cdf17a706adba9060
bigcode/the-stack
train
5a523a243129f466e237cffd
train
class
class JSONEncoder(flask.json.JSONEncoder): def __init__(self, *args, **kwargs): kwargs['use_decimal'] = False super(JSONEncoder, self).__init__(*args, **kwargs) def _getAttrName(self, attr): if isinstance(attr, basestring): return attr else: return attr....
class JSONEncoder(flask.json.JSONEncoder):
def __init__(self, *args, **kwargs): kwargs['use_decimal'] = False super(JSONEncoder, self).__init__(*args, **kwargs) def _getAttrName(self, attr): if isinstance(attr, basestring): return attr else: return attr.name def default(self, obj): if...
cg in cgs: qry.pushDict(cg) return qry elif cls == 'TO': import blm toc = blm.getTocByFullname(dic['toc']) toi = toc._create(objectid.ObjectId(dic['id'])) return toi elif cls == 'DiffTOI': import blm toc = blm.getTocByFullname(dic['toc']) ...
175
175
586
9
165
jacob22/accounting
accounting/jsonserialization.py
Python
JSONEncoder
JSONEncoder
113
183
113
114
1a888f4aa67e083d69c41d70bf57d16409bff0b3
bigcode/the-stack
train
16e5623aeb5807a279c9f5d5
train
function
def objectDecode(dic): if '_cls_' not in dic: return dic cls = dic['_cls_'] import blm Query = pytransact.query if cls in opValueKind: kind = opValueKind[cls] claz = getattr(Query, cls) if kind is None: return claz() value = dic['value'] ...
def objectDecode(dic):
if '_cls_' not in dic: return dic cls = dic['_cls_'] import blm Query = pytransact.query if cls in opValueKind: kind = opValueKind[cls] claz = getattr(Query, cls) if kind is None: return claz() value = dic['value'] if kind == 'between': ...
': 'single', 'Between': 'between' # map stuff: 'HasKey', 'LacksKey', 'NotIlikeMap', 'InMap', # 'LikeMap', 'NotLikeMap', 'IlikeMap', 'NoneOfMap' # 'Readable' } class JSONDecoder(flask.json.JSONDecoder): def __init__(self, **kw): kw['object_hook'] = objectDecode ...
111
111
373
5
106
jacob22/accounting
accounting/jsonserialization.py
Python
objectDecode
objectDecode
56
110
56
56
98bf0088bfc5857d435b35bf3a2ca551704d3ebf
bigcode/the-stack
train
0eb5b845a66eb5b57189c272
train
class
class JSONDecoder(flask.json.JSONDecoder): def __init__(self, **kw): kw['object_hook'] = objectDecode super(JSONDecoder, self).__init__(**kw)
class JSONDecoder(flask.json.JSONDecoder):
def __init__(self, **kw): kw['object_hook'] = objectDecode super(JSONDecoder, self).__init__(**kw)
' # map stuff: 'HasKey', 'LacksKey', 'NotIlikeMap', 'InMap', # 'LikeMap', 'NotLikeMap', 'IlikeMap', 'NoneOfMap' # 'Readable' } class JSONDecoder(flask.json.JSONDecoder):
64
64
41
9
55
jacob22/accounting
accounting/jsonserialization.py
Python
JSONDecoder
JSONDecoder
49
53
49
50
5a0ce7173772adbfc389b039063724f19632822c
bigcode/the-stack
train
b2e11ea48f30ade884304d1a
train
function
def get_save_folder(hyps): """ Creates the save name for the model. hyps: dict keys: main_path: str the leading path to the save_folder exp_name: str the root experiment name exp_num: int the experiment id number ...
def get_save_folder(hyps):
""" Creates the save name for the model. hyps: dict keys: main_path: str the leading path to the save_folder exp_name: str the root experiment name exp_num: int the experiment id number search_keys: str ...
t[0] if name == exp_name and num is not None: exp_nums.add(num) for i in range(len(exp_nums)): if i+offset not in exp_nums: return i+offset return len(exp_nums) + offset def get_save_folder(hyps):
64
64
130
8
55
grantsrb/supervised_gym
supervised_gym/utils/training.py
Python
get_save_folder
get_save_folder
114
133
114
114
92d02fc638ef07214954b42978fc794f806945e5
bigcode/the-stack
train
0a0dc7223e044de85a6581b1
train
function
def make_hyper_range(low, high, range_len, method="log"): """ Creates a list of length range_len that is a range between two values. The method dictates the spacing between the values. low: float the lowest value in the range """ if method.lower() == "random": param_vals = np.r...
def make_hyper_range(low, high, range_len, method="log"):
""" Creates a list of length range_len that is a range between two values. The method dictates the spacing between the values. low: float the lowest value in the range """ if method.lower() == "random": param_vals = np.random.random(low, high+1e-5, size=range_len) elif meth...
1) else: for param in hyp_ranges[key]: hyps[key] = param hyper_q = fill_hyper_q(hyps, hyp_ranges, keys, hyper_q, idx+1) return hyper_q def make_hyper_range(low, high, range_len, method="log"):
67
67
225
16
50
grantsrb/supervised_gym
supervised_gym/utils/training.py
Python
make_hyper_range
make_hyper_range
220
241
220
220
9334d6fe4aa716602ae1a08c686614f7870b9ab7
bigcode/the-stack
train
ea2816a6fafadb3913e5772a
train
function
def get_exp_num(exp_folder, exp_name, offset=0): """ Finds the next open experiment id number by searching through the existing experiment numbers in the folder. If an offset is argued, it is impossible to have an exp_num that is less than the value of the offset. The returned exp_num will be t...
def get_exp_num(exp_folder, exp_name, offset=0):
""" Finds the next open experiment id number by searching through the existing experiment numbers in the folder. If an offset is argued, it is impossible to have an exp_num that is less than the value of the offset. The returned exp_num will be the next available experiment number starting with...
not in ignore_keys: hyps[k] = v hyps['seed'] += 1 # For fresh data s = " Restarted training from epoch "+str(checkpt['epoch']) hyps['description'] = utils.try_key(hyps, "description", ...
112
112
374
14
97
grantsrb/supervised_gym
supervised_gym/utils/training.py
Python
get_exp_num
get_exp_num
64
112
64
64
502443f2200fe040dcbb6798e7c4ac3fc93f384b
bigcode/the-stack
train
e6c2e3c6a5d28071d594c16d
train
function
def hyper_search(hyps, hyp_ranges, train_fxn): """ The top level function to create hyperparameter combinations and perform trainings. hyps: dict the initial hyperparameter dict keys: str vals: values for the hyperparameters specified by the keys hyp_ranges: dict the...
def hyper_search(hyps, hyp_ranges, train_fxn):
""" The top level function to create hyperparameter combinations and perform trainings. hyps: dict the initial hyperparameter dict keys: str vals: values for the hyperparameters specified by the keys hyp_ranges: dict these are the ranges that will change the hyperpar...
"): """ Creates a list of length range_len that is a range between two values. The method dictates the spacing between the values. low: float the lowest value in the range """ if method.lower() == "random": param_vals = np.random.random(low, high+1e-5, size=range_len) elif ...
224
224
749
14
209
grantsrb/supervised_gym
supervised_gym/utils/training.py
Python
hyper_search
hyper_search
243
321
243
243
83a608df7acae98188075f1665dc1d69f95f87d7
bigcode/the-stack
train
09f1dba0e548b4f13efd618d
train
function
def run_training(train_fxn): """ This function extracts the hyperparams and hyperranges from the command line arguments and asks the user if they would like to proceed with the training and/or overwrite the previous save folder. train_fxn: function this the training function that will c...
def run_training(train_fxn):
""" This function extracts the hyperparams and hyperranges from the command line arguments and asks the user if they would like to proceed with the training and/or overwrite the previous save folder. train_fxn: function this the training function that will carry out the training ...
']\n' f.write(s) f.write('\n') hyper_q = Queue() hyper_q = fill_hyper_q(hyps, hyp_ranges, list(hyp_ranges.keys()), hyper_q, idx=0) total_searches = hyper_q.qsize() print("n_searches:", total_searches) result_count = 0 pr...
189
189
632
7
182
grantsrb/supervised_gym
supervised_gym/utils/training.py
Python
run_training
run_training
323
387
323
323
a204072490aee8b603cb6692ebaab003807f2b5b
bigcode/the-stack
train
879c17783b170a1d016642c2
train
function
def get_resume_checkpt(hyps, verbose=True): """ This function cleans up the code to resume from a particular checkpoint or folder. Be careful, this does change the hyps dict in place!!!! hyps: dict dictionary of hyperparameters keys: str "resume_folder": str ...
def get_resume_checkpt(hyps, verbose=True):
""" This function cleans up the code to resume from a particular checkpoint or folder. Be careful, this does change the hyps dict in place!!!! hyps: dict dictionary of hyperparameters keys: str "resume_folder": str must be a key present in hyps for ...
.nn.functional as F from torch.optim.lr_scheduler import ReduceLROnPlateau,StepLR,MultiStepLR import time from tqdm import tqdm import math from queue import Queue from collections import deque import psutil import json import supervised_gym.utils.save_io as io import supervised_gym.utils.utils as utils import select i...
106
106
356
12
93
grantsrb/supervised_gym
supervised_gym/utils/training.py
Python
get_resume_checkpt
get_resume_checkpt
24
62
24
24
3743ddcf83dcdf90d3ad77e17ea772ddcca6fcaa
bigcode/the-stack
train
5449b6fd25b33742fac176c4
train
function
def fill_hyper_q(hyps, hyp_ranges, keys, hyper_q, idx=0): """ Recursive function to load each of the hyperparameter combinations onto a queue. hyps - dict of hyperparameters created by a HyperParameters object type: dict keys: name of hyperparameter values: value of hyperparamet...
def fill_hyper_q(hyps, hyp_ranges, keys, hyper_q, idx=0):
""" Recursive function to load each of the hyperparameter combinations onto a queue. hyps - dict of hyperparameters created by a HyperParameters object type: dict keys: name of hyperparameter values: value of hyperparameter hyp_ranges - dict of lists these are the ra...
n"+str(model)+'\n') for k in sorted(hyps.keys()): f.write(str(k) + ": " + str(hyps[k]) + "\n") temp_hyps = dict() keys = list(hyps.keys()) temp_hyps = {k:v for k,v in hyps.items()} for k in keys: if type(hyps[k]) == type(np.array([])): del temp_hyps[k] with op...
148
148
496
21
127
grantsrb/supervised_gym
supervised_gym/utils/training.py
Python
fill_hyper_q
fill_hyper_q
166
218
166
166
677cf00d4b9960671b79fe95f5e6932d728625a4
bigcode/the-stack
train
b6dbb8bec7b600cef0820971
train
function
def record_session(hyps, model): """ Writes important parameters to file. If 'resume_folder' is an entry in the hyps dict, then the txt file is appended to instead of being overwritten. hyps: dict dict of relevant hyperparameters model: torch nn.Module the model to be trained ...
def record_session(hyps, model):
""" Writes important parameters to file. If 'resume_folder' is an entry in the hyps dict, then the txt file is appended to instead of being overwritten. hyps: dict dict of relevant hyperparameters model: torch nn.Module the model to be trained """ sf = hyps['save_folder'...
the root experiment name exp_num: int the experiment id number search_keys: str the identifying keys for this hyperparameter search """ save_folder = "{}/{}_{}".format(hyps['main_path'], hyps['exp_name'], ...
89
89
298
9
79
grantsrb/supervised_gym
supervised_gym/utils/training.py
Python
record_session
record_session
135
164
135
135
8359b28c0ca1fd6a45f913e5610505be156f3cdc
bigcode/the-stack
train
075733593189e1a5cc1eec4d
train
class
class HindsightReplayBuffer(SimpleReplayBuffer): def __init__(self, max_replay_buffer_size, env, random_seed=1995, relabel_type='future', her_ratio=0.8, observation_key="observation", desired_goal_key="desired_goal", achieved_goal_key="achieved_goal"): """ :para...
class HindsightReplayBuffer(SimpleReplayBuffer):
def __init__(self, max_replay_buffer_size, env, random_seed=1995, relabel_type='future', her_ratio=0.8, observation_key="observation", desired_goal_key="desired_goal", achieved_goal_key="achieved_goal"): """ :param max_replay_buffer_size: :param env: ...
from inspect import Attribute import numpy as np from rlkit.data_management.simple_replay_buffer import ( SimpleReplayBuffer ) from rlkit.data_management.env_replay_buffer import get_dim from rlkit.envs.goal_env_utils import compute_reward, compute_distance from gym.spaces import Box, Discrete, Tuple, Dict import ...
84
256
1,333
9
74
Ericonaldo/ILSwiss
rlkit/data_management/relabel_replay_buffer.py
Python
HindsightReplayBuffer
HindsightReplayBuffer
13
140
13
13
dd7865f69fe3215672435951f8221e3662783466
bigcode/the-stack
train
69549942c791f144bfb345c1
train
function
def analyze_o2_level(value): print("{} - Analyze Oxygen Level".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = None if value >= 95: response = { "message": "NORMAL" } else: response = { "message": "Your blood oxyg...
def analyze_o2_level(value):
print("{} - Analyze Oxygen Level".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = None if value >= 95: response = { "message": "NORMAL" } else: response = { "message": "Your blood oxygen level is not normal" ...
> 123: response = { "message": "Your heart Rate is not normal" } else: response = { "message": "NORMAL" } print("{} - Heart Rate: {}".format(LOGPREFIX, response)) return response def analyze_o2_level(value):
64
64
98
7
56
jfdaniel77/myHealth-consultation
recommendation.py
Python
analyze_o2_level
analyze_o2_level
403
419
403
403
3ab5c20c8756e80cf80de67b99b2c232f73ab3ca
bigcode/the-stack
train
15e8da3964d594153e64dc5c
train
function
def analyze_respiratory_rate(value): print("{} - Analyze Respiratory Rate".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = None if value >= 12 and value <= 20: response = { "message": "NORMAL" } else: response = { ...
def analyze_respiratory_rate(value):
print("{} - Analyze Respiratory Rate".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = None if value >= 12 and value <= 20: response = { "message": "NORMAL" } else: response = { "message": "Your respiratory rat...
95: response = { "message": "NORMAL" } else: response = { "message": "Your blood oxygen level is not normal" } print("{} - Oxygen: {}".format(LOGPREFIX, response)) return response def analyze_respiratory_rate(value):
64
64
106
8
55
jfdaniel77/myHealth-consultation
recommendation.py
Python
analyze_respiratory_rate
analyze_respiratory_rate
421
437
421
421
e3b399b5b704b259f8ef10c88abbdc9229a83046
bigcode/the-stack
train
ddfeaa4b7b326af853e15cd6
train
function
def get_age(userId): print("{} - Get Age".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, userId)) age = 0 mssql_url = get_parameter_value('serverless-mssql-url') engine = create_engine(mssql_url) with Session(engine) as session: query= """ SE...
def get_age(userId):
print("{} - Get Age".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, userId)) age = 0 mssql_url = get_parameter_value('serverless-mssql-url') engine = create_engine(mssql_url) with Session(engine) as session: query= """ SELECT DATEDIFF(YEAR,BI...
<= 20: response = { "message": "NORMAL" } else: response = { "message": "Your respiratory rate is not normal" } print("{} - Respiratory Rate: {}".format(LOGPREFIX, response)) return response def get_age(userId):
64
64
163
6
57
jfdaniel77/myHealth-consultation
recommendation.py
Python
get_age
get_age
439
462
439
439
09eef1634840823d9f75baa0cb6526f3d0792a3f
bigcode/the-stack
train
71f65cf3fcf8e15fc61822ea
train
function
def get_recommendation_graphdb(list_medical): print("{} - Get Recommendation from GraphDB".format(LOGPREFIX)) list_recommendation = [] query = """ MATCH (disease:Disease {disease: 'XXX'})-->(precaution) RETURN precaution as text """ # Set connection url = get_p...
def get_recommendation_graphdb(list_medical):
print("{} - Get Recommendation from GraphDB".format(LOGPREFIX)) list_recommendation = [] query = """ MATCH (disease:Disease {disease: 'XXX'})-->(precaution) RETURN precaution as text """ # Set connection url = get_parameter_value("serverless-graphdb-url") u...
("ssm") value = ssm_client.get_parameter(Name=key, WithDecryption=True) # print("{} - key: {} - value: {}".format(LOGPREFIX, key, value.get("Parameter").get("Value"))) return value.get("Parameter").get("Value") def get_recommendation_graphdb(list_medical):
70
71
238
11
59
jfdaniel77/myHealth-consultation
recommendation.py
Python
get_recommendation_graphdb
get_recommendation_graphdb
530
561
530
530
8f17905f1063003cd7e9562d4ebf059e25684683
bigcode/the-stack
train
fd39982127f585040cd20732
train
function
def analyze_heart_rate(value, patientId): print("{} - Analyze Heart Rate".format(LOGPREFIX)) print("{} - Payload: patientId: {} and value: {}".format(LOGPREFIX, patientId, value)) response = None # Get Age age = get_age(patientId) # Ref: https://my.clevelandclinic.org/health/diagnosti...
def analyze_heart_rate(value, patientId):
print("{} - Analyze Heart Rate".format(LOGPREFIX)) print("{} - Payload: patientId: {} and value: {}".format(LOGPREFIX, patientId, value)) response = None # Get Age age = get_age(patientId) # Ref: https://my.clevelandclinic.org/health/diagnostics/17402-pulse--heart-rate if age < 25...
analyze_blood_pressure(value): print("{} - Analyze Blood Pressure".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = None temp = value.split("/") sys = int(temp[0]) dias = int(temp[1]) if sys <= 120 and dias <= 80: response = { "m...
207
207
692
10
196
jfdaniel77/myHealth-consultation
recommendation.py
Python
analyze_heart_rate
analyze_heart_rate
290
401
290
290
0a6e25cd0946bcd8679c96a5cfbc40548805fd4a
bigcode/the-stack
train
65732d5f3f4a698d0485ff77
train
function
def analyze_bmi(height, weight): print("{} - Analyze BMI".format(LOGPREFIX)) print("{} - Payload: height: {} and weight: {}".format(LOGPREFIX, height, weight)) bmi_response = None bmi = weight/((height/100)*(height/100)) if bmi < 18.5 and bmi > 25: if bmi <= 18.5: ...
def analyze_bmi(height, weight):
print("{} - Analyze BMI".format(LOGPREFIX)) print("{} - Payload: height: {} and weight: {}".format(LOGPREFIX, height, weight)) bmi_response = None bmi = weight/((height/100)*(height/100)) if bmi < 18.5 and bmi > 25: if bmi <= 18.5: bmi_response = { ...
value)) response = {} if value > 37.5: response = { "message": "You have fever" } else: response = { "message": "NORMAL" } print("{} - Fever: {}".format(LOGPREFIX, response)) return response def analyze_bmi(height, weight):
75
75
250
8
66
jfdaniel77/myHealth-consultation
recommendation.py
Python
analyze_bmi
analyze_bmi
225
259
225
225
484a438c8e7912161c27139718d87e8c6675008c
bigcode/the-stack
train
a1b86e1fa9bc75e1a2e559c0
train
function
def analyze_body_temperature(value): print("{} - Analyze body temperature".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = {} if value > 37.5: response = { "message": "You have fever" } else: response = { "mes...
def analyze_body_temperature(value):
print("{} - Analyze body temperature".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = {} if value > 37.5: response = { "message": "You have fever" } else: response = { "message": "NORMAL" } pr...
"PATIENT_ID": patient_id, "MESSAGE_T": rr_resp["message"], "MSG_TP_T": "VITAL_SIGN" } list_payload.append(payload_db) # Store to MSSQL insert_records(list_payload) # Common functions def analyze_body_temperature(value):
64
64
96
6
57
jfdaniel77/myHealth-consultation
recommendation.py
Python
analyze_body_temperature
analyze_body_temperature
207
223
207
207
c4dcdfa4a60276db440078e8c6899c9271f17669
bigcode/the-stack
train
0a54f86b0052750823545b62
train
function
def insert_records(records): print("{} - Insert Records to MSSQL".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, records)) mssql_url = get_parameter_value('serverless-mssql-url') engine = create_engine(mssql_url) with Session(engine) as session: try: for item...
def insert_records(records):
print("{} - Insert Records to MSSQL".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, records)) mssql_url = get_parameter_value('serverless-mssql-url') engine = create_engine(mssql_url) with Session(engine) as session: try: for item in records: ...
= { "MSG_TP_T": q.MSG_TP_T.strip(), "MESSAGE_T": msg } list_recommendation.append(data) print("{} - List Recommendation: {}".format(LOGPREFIX, list_recommendation)) return list_recommendation def insert_records(records):
64
64
187
5
58
jfdaniel77/myHealth-consultation
recommendation.py
Python
insert_records
insert_records
501
521
501
501
788544847746cf0e83d24d3423d7dddd5294b5eb
bigcode/the-stack
train
895f99314f0a806064a04a83
train
class
class RECOMMENDATION(Base): __tablename__ = "RECOMMENDATION" ID = Column("ID", Integer, primary_key=True, autoincrement=False) PATIENT_ID = Column("PATIENT_ID", String) MESSAGE_T = Column("MESSAGE_T", String) MSG_TP_T = Column("MSG_TP_T", String) CREATED_DT = Column("CREATED_DT", DateTime)
class RECOMMENDATION(Base):
__tablename__ = "RECOMMENDATION" ID = Column("ID", Integer, primary_key=True, autoincrement=False) PATIENT_ID = Column("PATIENT_ID", String) MESSAGE_T = Column("MESSAGE_T", String) MSG_TP_T = Column("MSG_TP_T", String) CREATED_DT = Column("CREATED_DT", DateTime)
for item in resp: for key in item.keys(): list_recommendation.append(item.get(key)) session.close() driver.close() print("{} - Recommendation: {}".format(LOGPREFIX, list_recommendation)) return list_recommendation class RECOMMENDATION(Base):
64
64
89
7
56
jfdaniel77/myHealth-consultation
recommendation.py
Python
RECOMMENDATION
RECOMMENDATION
563
570
563
563
ae6104b64402ae8d94f208a8a159bba199b75d72
bigcode/the-stack
train
1020f9117a568c1dad584e7f
train
function
def analyze_blood_pressure(value): print("{} - Analyze Blood Pressure".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = None temp = value.split("/") sys = int(temp[0]) dias = int(temp[1]) if sys <= 120 and dias <= 80: response = { ...
def analyze_blood_pressure(value):
print("{} - Analyze Blood Pressure".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, value)) response = None temp = value.split("/") sys = int(temp[0]) dias = int(temp[1]) if sys <= 120 and dias <= 80: response = { "message": "NORMAL" } ...
{} which means you are obese.'.format(bmi) } else: bmi_response = { "bmi": bmi, "message": 'NORMAL' } print("{} - BMI: {}".format(LOGPREFIX, bmi_response)) return bmi_response def analyze_blood_pressure(value):
64
64
198
7
56
jfdaniel77/myHealth-consultation
recommendation.py
Python
analyze_blood_pressure
analyze_blood_pressure
261
288
261
261
1325084da148747a5ea8ebc709578160fe10549e
bigcode/the-stack
train
a33b4560f523b2cf32fcaa36
train
function
def analyze_medical_problem(event, context): print("{} - Analyze Medical Problem".format(LOGPREFIX)) # Get value from SQS print("{} - Number of records = {}".format(LOGPREFIX, len(event.get("Records")))) list_payload = [] if len(event.get("Records")) > 0: for record in event.get("R...
def analyze_medical_problem(event, context):
print("{} - Analyze Medical Problem".format(LOGPREFIX)) # Get value from SQS print("{} - Number of records = {}".format(LOGPREFIX, len(event.get("Records")))) list_payload = [] if len(event.get("Records")) > 0: for record in event.get("Records"): input_para...
").get("patientId"): patient_id = event.get("pathParameters").get("patientId") else: response_payload = { "message": "Missing Patient ID" } return {"statusCode": 400, "body": dumps(response_payload), "headers": {"Content-Type": "application/json", "Access-Control-Allow-Or...
175
176
587
9
165
jfdaniel77/myHealth-consultation
recommendation.py
Python
analyze_medical_problem
analyze_medical_problem
47
112
47
47
5f1d2027de2cb4b53c1f2752d129b8cae52053a8
bigcode/the-stack
train
86169503ee9370b410b16fa2
train
function
def get_recommendation_record(userId): print("{} - Get Recommendation from MSSQL".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, userId)) list_recommendation = [] temp_list = [] mssql_url = get_parameter_value('serverless-mssql-url') engine = create_engine(mssql_url) ...
def get_recommendation_record(userId):
print("{} - Get Recommendation from MSSQL".format(LOGPREFIX)) print("{} - Payload: {}".format(LOGPREFIX, userId)) list_recommendation = [] temp_list = [] mssql_url = get_parameter_value('serverless-mssql-url') engine = create_engine(mssql_url) with Session(engine) as session: ...
' AND USER_ID = :USER_ID """ qs = session.execute(query, { "USER_ID": userId }) for q in qs: age = q.AGE print("{} - Age: {}".format(LOGPREFIX, age)) return age def get_recommendation_record(userId):
70
70
235
9
60
jfdaniel77/myHealth-consultation
recommendation.py
Python
get_recommendation_record
get_recommendation_record
464
499
464
464
9ee6a4be9dda562b65cc111e2fe7783dc88da46b
bigcode/the-stack
train
508e19e1790684f363475308
train
function
def get_parameter_value(key): print("{} - Get Parameter key: {}".format(LOGPREFIX, key)) ssm_client = boto3.client("ssm") value = ssm_client.get_parameter(Name=key, WithDecryption=True) # print("{} - key: {} - value: {}".format(LOGPREFIX, key, value.get("Parameter").get("Value"))) return value.get("...
def get_parameter_value(key):
print("{} - Get Parameter key: {}".format(LOGPREFIX, key)) ssm_client = boto3.client("ssm") value = ssm_client.get_parameter(Name=key, WithDecryption=True) # print("{} - key: {} - value: {}".format(LOGPREFIX, key, value.get("Parameter").get("Value"))) return value.get("Parameter").get("Value")
row = mapping_RECOMMENDATION(item) session.add(row) session.commit() except Exception as e: print("{} - Exception: {}".format(LOGPREFIX, str(e))) session.rollback() print("{} - Insert Records to MSSQL ends.".format(LOGPREFIX)) def get_parameter_value...
64
64
88
6
58
jfdaniel77/myHealth-consultation
recommendation.py
Python
get_parameter_value
get_parameter_value
523
528
523
523
611d2c270f1b0c0cfbef0ecfb722cf3dbd40dc55
bigcode/the-stack
train
b23740637e07d693b5cda64d
train
function
def mapping_RECOMMENDATION(data): currentDateTime = datetime.now() return RECOMMENDATION( ID=data.get("ID"), PATIENT_ID=data.get("PATIENT_ID"), MESSAGE_T=data.get("MESSAGE_T"), MSG_TP_T=data.get("MSG_TP_T"), CREATED_DT=currentDateTime )
def mapping_RECOMMENDATION(data):
currentDateTime = datetime.now() return RECOMMENDATION( ID=data.get("ID"), PATIENT_ID=data.get("PATIENT_ID"), MESSAGE_T=data.get("MESSAGE_T"), MSG_TP_T=data.get("MSG_TP_T"), CREATED_DT=currentDateTime )
crement=False) PATIENT_ID = Column("PATIENT_ID", String) MESSAGE_T = Column("MESSAGE_T", String) MSG_TP_T = Column("MSG_TP_T", String) CREATED_DT = Column("CREATED_DT", DateTime) def mapping_RECOMMENDATION(data):
63
64
73
8
55
jfdaniel77/myHealth-consultation
recommendation.py
Python
mapping_RECOMMENDATION
mapping_RECOMMENDATION
572
581
572
572
a462e2abc177b18cbb5abd33a1a6e5d48f3a5e6e
bigcode/the-stack
train
dd0833d071e644972c70c67e
train
function
def get_recommendation(event, context): print("{} - Get Recommendation".format(LOGPREFIX)) list_recommendation = [] # Get Input Parameter patient_id = None if event.get("pathParameters") and event.get("pathParameters").get("patientId"): patient_id = event.get("pathParameters").get(...
def get_recommendation(event, context):
print("{} - Get Recommendation".format(LOGPREFIX)) list_recommendation = [] # Get Input Parameter patient_id = None if event.get("pathParameters") and event.get("pathParameters").get("patientId"): patient_id = event.get("pathParameters").get("patientId") else: response_...
datetime import datetime, date, timedelta from random import randrange, randint, uniform from neo4j import GraphDatabase # Constants LOGPREFIX = "myHealth" NUMBER_RECOMMENDATION = 10 # declarative base class Base = declarative_base() def get_recommendation(event, context):
66
66
221
9
57
jfdaniel77/myHealth-consultation
recommendation.py
Python
get_recommendation
get_recommendation
25
45
25
25
256766d8f66ecd5a56b47f443c682444f3c21fa1
bigcode/the-stack
train
f4ced692fc22cb1227c7aad9
train
function
def analyze_vital_sign(event, context): print("{} - Analyze Vital Sign".format(LOGPREFIX)) # Get value from SQS print("{} - Number of records = {}".format(LOGPREFIX, len(event.get("Records")))) list_payload = [] if len(event.get("Records")) > 0: for record in event.get("Records"): ...
def analyze_vital_sign(event, context):
print("{} - Analyze Vital Sign".format(LOGPREFIX)) # Get value from SQS print("{} - Number of records = {}".format(LOGPREFIX, len(event.get("Records")))) list_payload = [] if len(event.get("Records")) > 0: for record in event.get("Records"): input_parameter...
list_category: # if entity.get("Text") not in list_medical_condition: # list_medical_condition.append(entity.get("Text")) # print("{} - Condition: {}".format(LOGPREFIX, list_medical_condition)) # # Get recommendat...
204
205
684
9
195
jfdaniel77/myHealth-consultation
recommendation.py
Python
analyze_vital_sign
analyze_vital_sign
114
204
114
114
c86d2b691786596f9034bad782dab6c55eb75f64
bigcode/the-stack
train
ff7efad2b3cb4eed532ad511
train
function
def install(package): subprocess.check_call([sys.executable, "-m", "pip", "install", package])
def install(package):
subprocess.check_call([sys.executable, "-m", "pip", "install", package])
#!/usr/bin/env python # -*- coding: utf-8 -*- from packaging.version import parse as parse_version from packaging.utils import canonicalize_version import requests import subprocess import sys def install(package):
44
64
24
4
39
paulsaxe/seamm_dashboard
devtools/scripts/install_chromedriver.py
Python
install
install
11
12
11
11
ce23b19210184394c01f77e7a3cf9d59200365ef
bigcode/the-stack
train
a514fd405ed9837d53c2e353
train
function
def chrome_version(): """Return the version of Chrome installed.""" if sys.platform == "linux" or sys.platform == "linux2": # linux exe = "google-chrome" elif sys.platform == "darwin": # OS X exe = "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" elif sys.pl...
def chrome_version():
"""Return the version of Chrome installed.""" if sys.platform == "linux" or sys.platform == "linux2": # linux exe = "google-chrome" elif sys.platform == "darwin": # OS X exe = "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" elif sys.platform == "win32": ...
python # -*- coding: utf-8 -*- from packaging.version import parse as parse_version from packaging.utils import canonicalize_version import requests import subprocess import sys def install(package): subprocess.check_call([sys.executable, "-m", "pip", "install", package]) def chrome_version():
64
64
152
4
60
paulsaxe/seamm_dashboard
devtools/scripts/install_chromedriver.py
Python
chrome_version
chrome_version
15
32
15
15
8138513a6cc769d00dbef184c6d9196066afc6dc
bigcode/the-stack
train
a04751ac0bf3468ad782b234
train
class
class Hardware: @staticmethod def get_bios()->Dict: """ Returns Bios version """ value = subprocess.getoutput("wmic bios get smbiosbiosversion") response = { "name" : value.split()[0], "version": value.split()[1] } return response...
class Hardware: @staticmethod
def get_bios()->Dict: """ Returns Bios version """ value = subprocess.getoutput("wmic bios get smbiosbiosversion") response = { "name" : value.split()[0], "version": value.split()[1] } return response @staticmethod def g...
from typing import Dict, Tuple, Sequence, List, NoReturn import subprocess import json class Hardware: @staticmethod
27
256
875
7
19
adolabsnet/sarenka
sarenka/backend/api_searcher/windows/hardware.py
Python
Hardware
Hardware
5
125
5
6
5da2fac9f0ee8c851a783561d4b8418adbf6193a
bigcode/the-stack
train
01023ab5454eeb0815389fcf
train
function
def directories(path): for directory in path.split('/'): if directory != ROOT_DIR: yield directory
def directories(path):
for directory in path.split('/'): if directory != ROOT_DIR: yield directory
URES solution. It uses a tree to simulate the process described in the problem statement and runs in time linear of the number of bytes in the input file, which is asymptotically optimal. """ from collections import defaultdict ROOT_DIR = '' def tree(): return defaultdict(tree) def directories(path):
64
64
23
4
60
py-in-the-sky/challenges
google-code-jam/file_fixit.py
Python
directories
directories
20
23
20
20
54f76afac5fe449b8c0624d0143d690900e987b4
bigcode/the-stack
train
d8413f982556cf747cc96c23
train
function
def tree(): return defaultdict(tree)
def tree():
return defaultdict(tree)
This solution is a simple DATA STRUCTURES solution. It uses a tree to simulate the process described in the problem statement and runs in time linear of the number of bytes in the input file, which is asymptotically optimal. """ from collections import defaultdict ROOT_DIR = '' def tree():
63
64
7
4
59
py-in-the-sky/challenges
google-code-jam/file_fixit.py
Python
tree
tree
17
17
17
17
f647854f8b05dcfc9aa0348e0c02891b1e56ec2b
bigcode/the-stack
train