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sahana/eden | 1696fa50e90ce967df69f66b571af45356cc18da | controllers/med.py | python | hospital | () | return s3_rest_controller(rheader = med_hospital_rheader) | Main REST controller for Hospitals | Main REST controller for Hospitals | [
"Main",
"REST",
"controller",
"for",
"Hospitals"
] | def hospital():
"""
Main REST controller for Hospitals
"""
# Custom Method to Assign HRs
from s3db.hrm import hrm_AssignMethod
s3db.set_method("med", "hospital",
method = "assign",
action = hrm_AssignMethod(component = "human_resource_site"),
)
# Pre-processor
def prep(r):
# Function to call for all Site Instance Types
from s3db.org import org_site_prep
org_site_prep(r)
if r.interactive:
if r.component:
cname = r.component_name
if cname == "status":
table = db.med_hospital_status
table.facility_status.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Facility Status"),
T("Status of the facility."),
),
)
table.facility_operations.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Facility Operations"),
T("Overall status of the facility operations."),
),
)
table.clinical_status.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Clinical Status"),
T("Status of the clinical departments."),
),
)
table.clinical_operations.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Clinical Operations"),
T("Overall status of the clinical operations."),
),
)
table.ems_status.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Emergency Medical Services"),
T("Status of operations/availability of emergency medical services at this facility."),
),
)
table.ems_reason.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("EMS Status Reasons"),
T("Report the contributing factors for the current EMS status."),
),
)
table.or_status.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("OR Status"),
T("Status of the operating rooms of this facility."),
),
)
table.or_reason.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("OR Status Reason"),
T("Report the contributing factors for the current OR status."),
),
)
table.morgue_status.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Morgue Status"),
T("Status of morgue capacity."),
),
)
table.morgue_units.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Morgue Units Available"),
T("Number of vacant/available units to which victims can be transported immediately."),
),
)
table.security_status.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Security Status"),
T("Status of security procedures/access restrictions for the facility."),
),
)
table.staffing.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Staffing Level"),
T("Current staffing level at the facility."),
),
)
table.access_status.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Road Conditions"),
T("Describe the condition of the roads from/to the facility."),
),
)
elif cname == "bed_capacity":
table = db.med_bed_capacity
table.bed_type.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Bed Type"),
T("Specify the bed type of this unit."),
),
)
table.beds_baseline.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Baseline Number of Beds"),
T("Baseline number of beds of that type in this unit."),
),
)
table.beds_available.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Available Beds"),
T("Number of available/vacant beds of that type in this unit at the time of reporting."),
),
)
table.beds_add24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Additional Beds / 24hrs"),
T("Number of additional beds of that type expected to become available in this unit within the next 24 hours."),
),
)
elif cname == "activity":
table = db.med_hospital_activity
table.date.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Date & Time"),
T("Date and time this report relates to."),
),
)
table.patients.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Patients"),
T("Number of in-patients at the time of reporting."),
),
)
table.admissions24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Admissions/24hrs"),
T("Number of newly admitted patients during the past 24 hours."),
),
)
table.discharges24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Discharges/24hrs"),
T("Number of discharged patients during the past 24 hours."),
),
)
table.deaths24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Deaths/24hrs"),
T("Number of deaths during the past 24 hours."),
),
)
elif cname == "image":
table = s3db.doc_image
table.location_id.readable = table.location_id.writable = False
table.organisation_id.readable = table.organisation_id.writable = False
table.person_id.readable = table.person_id.writable = False
elif cname == "ctc":
table = db.med_ctc
table.ctc.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Cholera Treatment Center"),
T("Does this facility provide a cholera treatment center?"),
),
)
table.number_of_patients.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Current number of patients"),
T("How many patients with the disease are currently hospitalized at this facility?"),
),
)
table.cases_24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("New cases in the past 24h"),
T("How many new cases have been admitted to this facility in the past 24h?"),
),
)
table.deaths_24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Deaths in the past 24h"),
T("How many of the patients with the disease died in the past 24h at this facility?"),
),
)
table.icaths_available.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Infusion catheters available"),
T("Specify the number of available sets"),
),
)
table.icaths_needed_24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Infusion catheters need per 24h"),
T("Specify the number of sets needed per 24h"),
),
)
table.infusions_available.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Infusions available"),
T("Specify the number of available units (litres) of Ringer-Lactate or equivalent solutions"),
),
)
table.infusions_needed_24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Infusions needed per 24h"),
T("Specify the number of units (litres) of Ringer-Lactate or equivalent solutions needed per 24h"),
),
)
table.antibiotics_available.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Antibiotics available"),
T("Specify the number of available units (adult doses)"),
),
)
table.antibiotics_needed_24.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Antibiotics needed per 24h"),
T("Specify the number of units (adult doses) needed per 24h"),
),
)
table.problem_types.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Current problems, categories"),
T("Select all that apply"),
),
)
table.problem_details.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Current problems, details"),
T("Please specify any problems and obstacles with the proper handling of the disease, in detail (in numbers, where appropriate). You may also add suggestions the situation could be improved."),
),
)
else:
# No Component
table = r.table
if settings.get_med_have():
# HAVE compliance
table.town.label = T("Town")
components_get = s3db.resource("med_hospital").components.get
# UID assigned by Local Government
gov_uuid = components_get("gov_uuid")
f = gov_uuid.table.value
f.requires = IS_EMPTY_OR([IS_LENGTH(128),
IS_NOT_ONE_OF(db, "org_site_tag.value"),
])
f.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Government UID"),
T("The Unique Identifier (UUID) as assigned to this facility by the government."),
),
)
from s3 import S3LocationFilter, S3OptionsFilter, S3RangeFilter, S3TextFilter
stable = s3db.med_hospital_status
filter_widgets = [
S3TextFilter(["name",
"code",
"comments",
"organisation_id$name",
"organisation_id$acronym",
"location_id$name",
"location_id$L1",
"location_id$L2",
],
label = T("Name"),
_class = "filter-search",
),
S3OptionsFilter("facility_type",
label = T("Type"),
#hidden = True,
),
S3LocationFilter("location_id",
label = T("Location"),
levels = ("L0", "L1", "L2"),
#hidden = True,
),
S3OptionsFilter("status.facility_status",
label = T("Status"),
options = stable.facility_status.represent.options,
#represent = "%(name)s",
#hidden = True,
),
S3OptionsFilter("status.power_supply_type",
label = T("Power"),
options = stable.power_supply_type.represent.options,
#represent = "%(name)s",
#hidden = True,
),
S3OptionsFilter("bed_capacity.bed_type",
label = T("Bed Type"),
options = s3db.med_bed_capacity.bed_type.represent.options,
#represent = "%(name)s",
#hidden = True,
),
S3RangeFilter("total_beds",
label = T("Total Beds"),
#represent = "%(name)s",
#hidden = True,
),
]
s3db.configure("med_hospital",
filter_widgets = filter_widgets,
)
s3.formats["have"] = r.url() # .have added by JS
# Add comments
table.total_beds.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Total Beds"),
T("Total number of beds in this facility. Automatically updated from daily reports."),
),
)
table.available_beds.comment = DIV(_class = "tooltip",
_title = "%s|%s" % (T("Available Beds"),
T("Number of vacant/available beds in this facility. Automatically updated from daily reports."),
),
)
elif r.representation == "plain":
# Duplicates info in the other fields
r.table.location_id.readable = False
return True
s3.prep = prep
from s3db.med import med_hospital_rheader
return s3_rest_controller(rheader = med_hospital_rheader) | [
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007gzs/dingtalk-sdk | 7979da2e259fdbc571728cae2425a04dbc65850a | dingtalk/client/api/taobao.py | python | TbShangPin.taobao_item_img_upload | (
self,
num_iid,
id='',
position='',
image='',
is_major='false',
is_rectangle='false'
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{
"num_iid": num_iid,
"id": id,
"position": position,
"image": image,
"is_major": is_major,
"is_rectangle": is_rectangle
},
result_processor=lambda x: x["item_img"]
) | 添加商品图片
添加一张商品图片到num_iid指定的商品中
传入的num_iid所对应的商品必须属于当前会话的用户
如果更新图片需要设置itemimg_id，且该itemimg_id的图片记录需要属于传入的num_iid对应的商品。如果新增图片则不用设置 。
使用taobao.item.seller.get中返回的item_imgs字段获取图片id。
商品图片有数量和大小上的限制，根据卖家享有的服务（如：卖家订购了多图服务等），商品图片数量限制不同。
文档地址：https://open-doc.dingtalk.com/docs/api.htm?apiId=23
:param num_iid: 商品数字ID，该参数必须
:param id: 商品图片id(如果是更新图片，则需要传该参数)
:param position: 图片序号
:param image: 商品图片内容类型:JPG,GIF;最大:3M 。支持的文件类型：gif,jpg,jpeg,png
:param is_major: 是否将该图片设为主图,可选值:true,false;默认值:false(非主图)
:param is_rectangle: 是否3:4长方形图片，绑定3:4主图视频时用于上传3:4商品主图 | 添加商品图片
添加一张商品图片到num_iid指定的商品中
传入的num_iid所对应的商品必须属于当前会话的用户
如果更新图片需要设置itemimg_id，且该itemimg_id的图片记录需要属于传入的num_iid对应的商品。如果新增图片则不用设置 。
使用taobao.item.seller.get中返回的item_imgs字段获取图片id。
商品图片有数量和大小上的限制，根据卖家享有的服务（如：卖家订购了多图服务等），商品图片数量限制不同。
文档地址：https://open-doc.dingtalk.com/docs/api.htm?apiId=23 | [
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"文档地址：https",
"... | def taobao_item_img_upload(
self,
num_iid,
id='',
position='',
image='',
is_major='false',
is_rectangle='false'
):
"""
添加商品图片
添加一张商品图片到num_iid指定的商品中
传入的num_iid所对应的商品必须属于当前会话的用户
如果更新图片需要设置itemimg_id，且该itemimg_id的图片记录需要属于传入的num_iid对应的商品。如果新增图片则不用设置 。
使用taobao.item.seller.get中返回的item_imgs字段获取图片id。
商品图片有数量和大小上的限制，根据卖家享有的服务（如：卖家订购了多图服务等），商品图片数量限制不同。
文档地址：https://open-doc.dingtalk.com/docs/api.htm?apiId=23
:param num_iid: 商品数字ID，该参数必须
:param id: 商品图片id(如果是更新图片，则需要传该参数)
:param position: 图片序号
:param image: 商品图片内容类型:JPG,GIF;最大:3M 。支持的文件类型：gif,jpg,jpeg,png
:param is_major: 是否将该图片设为主图,可选值:true,false;默认值:false(非主图)
:param is_rectangle: 是否3:4长方形图片，绑定3:4主图视频时用于上传3:4商品主图
"""
return self._top_request(
"taobao.item.img.upload",
{
"num_iid": num_iid,
"id": id,
"position": position,
"image": image,
"is_major": is_major,
"is_rectangle": is_rectangle
},
result_processor=lambda x: x["item_img"]
) | [
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biopython/biopython | 2dd97e71762af7b046d7f7f8a4f1e38db6b06c86 | Bio/PDB/internal_coords.py | python | Edron.gen_key | (lst: Union[List[str], List["AtomKey"]]) | Generate string of ':'-joined AtomKey strings from input.
:param lst: list of AtomKey objects or id strings | Generate string of ':'-joined AtomKey strings from input. | [
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] | def gen_key(lst: Union[List[str], List["AtomKey"]]) -> str:
"""Generate string of ':'-joined AtomKey strings from input.
:param lst: list of AtomKey objects or id strings
"""
if isinstance(lst[0], str):
lst = cast(List[str], lst)
return ":".join(lst)
else:
lst = cast(List[AtomKey], lst)
return ":".join(ak.id for ak in lst) | [
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IronLanguages/main | a949455434b1fda8c783289e897e78a9a0caabb5 | External.LCA_RESTRICTED/Languages/IronPython/27/Lib/decimal.py | python | Context.copy_sign | (self, a, b) | return a.copy_sign(b) | Copies the second operand's sign to the first one.
In detail, it returns a copy of the first operand with the sign
equal to the sign of the second operand.
>>> ExtendedContext.copy_sign(Decimal( '1.50'), Decimal('7.33'))
Decimal('1.50')
>>> ExtendedContext.copy_sign(Decimal('-1.50'), Decimal('7.33'))
Decimal('1.50')
>>> ExtendedContext.copy_sign(Decimal( '1.50'), Decimal('-7.33'))
Decimal('-1.50')
>>> ExtendedContext.copy_sign(Decimal('-1.50'), Decimal('-7.33'))
Decimal('-1.50')
>>> ExtendedContext.copy_sign(1, -2)
Decimal('-1')
>>> ExtendedContext.copy_sign(Decimal(1), -2)
Decimal('-1')
>>> ExtendedContext.copy_sign(1, Decimal(-2))
Decimal('-1') | Copies the second operand's sign to the first one. | [
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] | def copy_sign(self, a, b):
"""Copies the second operand's sign to the first one.
In detail, it returns a copy of the first operand with the sign
equal to the sign of the second operand.
>>> ExtendedContext.copy_sign(Decimal( '1.50'), Decimal('7.33'))
Decimal('1.50')
>>> ExtendedContext.copy_sign(Decimal('-1.50'), Decimal('7.33'))
Decimal('1.50')
>>> ExtendedContext.copy_sign(Decimal( '1.50'), Decimal('-7.33'))
Decimal('-1.50')
>>> ExtendedContext.copy_sign(Decimal('-1.50'), Decimal('-7.33'))
Decimal('-1.50')
>>> ExtendedContext.copy_sign(1, -2)
Decimal('-1')
>>> ExtendedContext.copy_sign(Decimal(1), -2)
Decimal('-1')
>>> ExtendedContext.copy_sign(1, Decimal(-2))
Decimal('-1')
"""
a = _convert_other(a, raiseit=True)
return a.copy_sign(b) | [
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shellphish/ictf-framework | c0384f12060cf47442a52f516c6e78bd722f208a | gamebot/dbapi.py | python | DBApi.get_full_game_state | (self) | return DBApi._get_json_response(target_url, target_logger=self.log) | Get the game state
API: /game/state
:return: A huge dict that contains almost everything | Get the game state
API: /game/state
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"""
Get the game state
API: /game/state
:return: A huge dict that contains almost everything
"""
target_url = self.__build_url(DBApi.GET_FULL_GAME_STATE)
return DBApi._get_json_response(target_url, target_logger=self.log) | [
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libertysoft3/saidit | 271c7d03adb369f82921d811360b00812e42da24 | r2/r2/lib/utils/utils.py | python | epoch_timestamp | (dt) | return (dt - EPOCH).total_seconds() | Returns the number of seconds from the epoch to date.
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"""Returns the number of seconds from the epoch to date.
:param datetime dt: datetime (with time zone)
:rtype: float
"""
return (dt - EPOCH).total_seconds() | [
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andresriancho/w3af | cd22e5252243a87aaa6d0ddea47cf58dacfe00a9 | w3af/plugins/attack/dav.py | python | dav.get_root_probability | (self) | return 0.8 | :return: This method returns the probability of getting a root shell
using this attack plugin. This is used by the "exploit *"
function to order the plugins and first try to exploit the
more critical ones. This method should return 0 for an exploit
that will never return a root shell, and 1 for an exploit that
WILL ALWAYS return a root shell. | :return: This method returns the probability of getting a root shell
using this attack plugin. This is used by the "exploit *"
function to order the plugins and first try to exploit the
more critical ones. This method should return 0 for an exploit
that will never return a root shell, and 1 for an exploit that
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amosbastian/fpl | 141e10d315df3f886b103ce4351e8e56a96489f8 | fpl/models/fixture.py | python | Fixture.get_assisters | (self) | Returns all players who made an assist in the fixture.
:rtype: dict | Returns all players who made an assist in the fixture. | [
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] | def get_assisters(self):
"""Returns all players who made an assist in the fixture.
:rtype: dict
"""
try:
return self.stats["assists"]
except KeyError:
return {"a": [], "h": []} | [
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IronLanguages/ironpython3 | 7a7bb2a872eeab0d1009fc8a6e24dca43f65b693 | Src/StdLib/Lib/asyncio/selector_events.py | python | _test_selector_event | (selector, fd, event) | [] | def _test_selector_event(selector, fd, event):
# Test if the selector is monitoring 'event' events
# for the file descriptor 'fd'.
try:
key = selector.get_key(fd)
except KeyError:
return False
else:
return bool(key.events & event) | [
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Yelp/paasta | 6c08c04a577359509575c794b973ea84d72accf9 | paasta_tools/paastaapi/model/kubernetes_replica_set.py | python | KubernetesReplicaSet.openapi_types | () | return {
'create_timestamp': (float,), # noqa: E501
'name': (str,), # noqa: E501
'ready_replicas': (int,), # noqa: E501
'replicas': (int,), # noqa: E501
'git_sha': (str, none_type,), # noqa: E501
'config_sha': (str, none_type,), # noqa: E501
} | This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
Returns
openapi_types (dict): The key is attribute name
and the value is attribute type. | This must be a method because a model may have properties that are
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"""
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Returns
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and the value is attribute type.
"""
return {
'create_timestamp': (float,), # noqa: E501
'name': (str,), # noqa: E501
'ready_replicas': (int,), # noqa: E501
'replicas': (int,), # noqa: E501
'git_sha': (str, none_type,), # noqa: E501
'config_sha': (str, none_type,), # noqa: E501
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huntfx/MouseTracks | 4dfab6386f9461be77cb19b54c9c498d74fb4ef6 | mousetracks/image/animation.py | python | TrackHistory._step_range | (self, steps) | [] | def _step_range(self, steps):
try:
return self._CACHE['Steps'][steps]
except KeyError:
self._CACHE['Steps'][steps] = list(range(steps))
return self._CACHE['Steps'][steps] | [
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SirVer/ultisnips | 2c83e40ce66814bf813457bb58ea96184ab9bb81 | pythonx/UltiSnips/snippet_manager.py | python | SnippetManager.snippets_in_current_scope | (self, search_all) | Returns the snippets that could be expanded to Vim as a global
variable. | Returns the snippets that could be expanded to Vim as a global
variable. | [
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] | def snippets_in_current_scope(self, search_all):
"""Returns the snippets that could be expanded to Vim as a global
variable."""
before = "" if search_all else vim_helper.buf.line_till_cursor
snippets = self._snips(before, True)
# Sort snippets alphabetically
snippets.sort(key=lambda x: x.trigger)
for snip in snippets:
description = snip.description[
snip.description.find(snip.trigger) + len(snip.trigger) + 2 :
]
location = snip.location if snip.location else ""
key = snip.trigger
# remove surrounding "" or '' in snippet description if it exists
if len(description) > 2:
if description[0] == description[-1] and description[0] in "'\"":
description = description[1:-1]
vim_helper.command(
"let g:current_ulti_dict['{key}'] = '{val}'".format(
key=key.replace("'", "''"), val=description.replace("'", "''")
)
)
if search_all:
vim_helper.command(
(
"let g:current_ulti_dict_info['{key}'] = {{"
"'description': '{description}',"
"'location': '{location}',"
"}}"
).format(
key=key.replace("'", "''"),
location=location.replace("'", "''"),
description=description.replace("'", "''"),
)
) | [
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dropbox/dropbox-sdk-python | 015437429be224732990041164a21a0501235db1 | dropbox/team_log.py | python | EventType.get_guest_admin_signed_in_via_trusted_teams | (self) | return self._value | (logins) Started trusted team admin session
Only call this if :meth:`is_guest_admin_signed_in_via_trusted_teams` is true.
:rtype: GuestAdminSignedInViaTrustedTeamsType | (logins) Started trusted team admin session | [
"(",
"logins",
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"Started",
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"team",
"admin",
"session"
] | def get_guest_admin_signed_in_via_trusted_teams(self):
"""
(logins) Started trusted team admin session
Only call this if :meth:`is_guest_admin_signed_in_via_trusted_teams` is true.
:rtype: GuestAdminSignedInViaTrustedTeamsType
"""
if not self.is_guest_admin_signed_in_via_trusted_teams():
raise AttributeError("tag 'guest_admin_signed_in_via_trusted_teams' not set")
return self._value | [
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maqp/tfc | 4bb13da1f19671e1e723db7e8a21be58847209af | src/common/path.py | python | Completer.path_complete | (self, args: Optional[List[str]] = None) | return self.complete_path(args[-1]) | Return the list of directories from the current directory. | Return the list of directories from the current directory. | [
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"""Return the list of directories from the current directory."""
if not args:
return self.complete_path('.')
# Treat the last arg as a path and complete it
return self.complete_path(args[-1]) | [
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dimagi/commcare-hq | d67ff1d3b4c51fa050c19e60c3253a79d3452a39 | corehq/apps/api/resources/__init__.py | python | CouchResourceMixin.detail_uri_kwargs | (self, bundle_or_obj) | return {
'pk': get_obj(bundle_or_obj)._id
} | [] | def detail_uri_kwargs(self, bundle_or_obj):
return {
'pk': get_obj(bundle_or_obj)._id
} | [
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pyatom/pyatom | a170717408d46f5d872585a877ffd8ee09a1a052 | atomac/AXClasses.py | python | BaseAXUIElement._findFirst | (self, **kwargs) | Return the first object that matches the criteria. | Return the first object that matches the criteria. | [
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] | def _findFirst(self, **kwargs):
"""Return the first object that matches the criteria."""
for item in self._generateFind(**kwargs):
return item | [
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NoGameNoLife00/mybolg | afe17ea5bfe405e33766e5682c43a4262232ee12 | libs/itsdangerous.py | python | Signer.verify_signature | (self, value, sig) | return self.algorithm.verify_signature(key, value, sig) | Verifies the signature for the given value. | Verifies the signature for the given value. | [
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] | def verify_signature(self, value, sig):
"""Verifies the signature for the given value."""
key = self.derive_key()
try:
sig = base64_decode(sig)
except Exception:
return False
return self.algorithm.verify_signature(key, value, sig) | [
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kubernetes-client/python | 47b9da9de2d02b2b7a34fbe05afb44afd130d73a | kubernetes/client/api_client.py | python | ApiClient.select_header_content_type | (self, content_types) | Returns `Content-Type` based on an array of content_types provided.
:param content_types: List of content-types.
:return: Content-Type (e.g. application/json). | Returns `Content-Type` based on an array of content_types provided. | [
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] | def select_header_content_type(self, content_types):
"""Returns `Content-Type` based on an array of content_types provided.
:param content_types: List of content-types.
:return: Content-Type (e.g. application/json).
"""
if not content_types:
return 'application/json'
content_types = [x.lower() for x in content_types]
if 'application/json' in content_types or '*/*' in content_types:
return 'application/json'
else:
return content_types[0] | [
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triaquae/triaquae | bbabf736b3ba56a0c6498e7f04e16c13b8b8f2b9 | TriAquae/models/django/db/backends/oracle/base.py | python | DatabaseOperations._get_sequence_name | (self, table) | return '%s_SQ' % util.truncate_name(table, name_length).upper() | [] | def _get_sequence_name(self, table):
name_length = self.max_name_length() - 3
return '%s_SQ' % util.truncate_name(table, name_length).upper() | [
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quic/aimet | dae9bae9a77ca719aa7553fefde4768270fc3518 | TrainingExtensions/common/src/python/aimet_common/winnow/mask.py | python | Mask.propagate_internal_connectivity_out_channels_to_in_channels | (self) | Based on the internal connectivity, propagates the output channel masks to input channel masks | Based on the internal connectivity, propagates the output channel masks to input channel masks | [
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] | def propagate_internal_connectivity_out_channels_to_in_channels(self):
""" Based on the internal connectivity, propagates the output channel masks to input channel masks"""
# The last module doesn't have output channel mask
if self._output_channel_masks:
if self._internal_connectivity is not None:
self._internal_connectivity.backward_propagate_the_masks(self._output_channel_masks,
self._input_channel_masks) | [
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holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/logic/algorithms/dpll2.py | python | SATSolver._find_model | (self) | Main DPLL loop. Returns a generator of models.
Variables are chosen successively, and assigned to be either
True or False. If a solution is not found with this setting,
the opposite is chosen and the search continues. The solver
halts when every variable has a setting.
Examples
========
>>> from sympy.logic.algorithms.dpll2 import SATSolver
>>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2},
... {3, -2}], {1, 2, 3}, set())
>>> list(l._find_model())
[{1: True, 2: False, 3: False}, {1: True, 2: True, 3: True}]
>>> from sympy.abc import A, B, C
>>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2},
... {3, -2}], {1, 2, 3}, set(), [A, B, C])
>>> list(l._find_model())
[{A: True, B: False, C: False}, {A: True, B: True, C: True}] | Main DPLL loop. Returns a generator of models. | [
"Main",
"DPLL",
"loop",
".",
"Returns",
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"generator",
"of",
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] | def _find_model(self):
"""
Main DPLL loop. Returns a generator of models.
Variables are chosen successively, and assigned to be either
True or False. If a solution is not found with this setting,
the opposite is chosen and the search continues. The solver
halts when every variable has a setting.
Examples
========
>>> from sympy.logic.algorithms.dpll2 import SATSolver
>>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2},
... {3, -2}], {1, 2, 3}, set())
>>> list(l._find_model())
[{1: True, 2: False, 3: False}, {1: True, 2: True, 3: True}]
>>> from sympy.abc import A, B, C
>>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2},
... {3, -2}], {1, 2, 3}, set(), [A, B, C])
>>> list(l._find_model())
[{A: True, B: False, C: False}, {A: True, B: True, C: True}]
"""
# We use this variable to keep track of if we should flip a
# variable setting in successive rounds
flip_var = False
# Check if unit prop says the theory is unsat right off the bat
self._simplify()
if self.is_unsatisfied:
return
# While the theory still has clauses remaining
while True:
# Perform cleanup / fixup at regular intervals
if self.num_decisions % self.INTERVAL == 0:
for func in self.update_functions:
func()
if flip_var:
# We have just backtracked and we are trying to opposite literal
flip_var = False
lit = self._current_level.decision
else:
# Pick a literal to set
lit = self.heur_calculate()
self.num_decisions += 1
# Stopping condition for a satisfying theory
if 0 == lit:
yield dict((self.symbols[abs(lit) - 1],
lit > 0) for lit in self.var_settings)
while self._current_level.flipped:
self._undo()
if len(self.levels) == 1:
return
flip_lit = -self._current_level.decision
self._undo()
self.levels.append(Level(flip_lit, flipped=True))
flip_var = True
continue
# Start the new decision level
self.levels.append(Level(lit))
# Assign the literal, updating the clauses it satisfies
self._assign_literal(lit)
# _simplify the theory
self._simplify()
# Check if we've made the theory unsat
if self.is_unsatisfied:
self.is_unsatisfied = False
# We unroll all of the decisions until we can flip a literal
while self._current_level.flipped:
self._undo()
# If we've unrolled all the way, the theory is unsat
if 1 == len(self.levels):
return
# Detect and add a learned clause
self.add_learned_clause(self.compute_conflict())
# Try the opposite setting of the most recent decision
flip_lit = -self._current_level.decision
self._undo()
self.levels.append(Level(flip_lit, flipped=True))
flip_var = True | [
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XX-net/XX-Net | a9898cfcf0084195fb7e69b6bc834e59aecdf14f | python3.8.2/Lib/os.py | python | execlp | (file, *args) | execlp(file, *args)
Execute the executable file (which is searched for along $PATH)
with argument list args, replacing the current process. | execlp(file, *args) | [
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"""execlp(file, *args)
Execute the executable file (which is searched for along $PATH)
with argument list args, replacing the current process. """
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kanzure/nanoengineer | 874e4c9f8a9190f093625b267f9767e19f82e6c4 | cad/src/simulation/movie.py | python | Movie._close | (self) | return | Close movie file and adjust atom positions. | Close movie file and adjust atom positions. | [
"Close",
"movie",
"file",
"and",
"adjust",
"atom",
"positions",
"."
] | def _close(self):
"""
Close movie file and adjust atom positions.
"""
#bruce 050427 comment: what this did in old code:
# - if already closed, noop.
# - pause (sets internal play-state variables, updates dashboard ###k)
# - close file.
# - unfreeze atoms.
# - if frame moved while movie open this time, self.assy.changed()
# - wanted to delete saved frame 0 but doesn't (due to crash during devel)
if _DEBUG1:
print_compact_stack( "movie._close() called. self.isOpen = %r" % self.isOpen)
if not self.isOpen:
return
self._pause(0)
## self.fileobj.close() # Close the movie file.
self.alist_and_moviefile.snuggle_singlets() #bruce 050427
self.alist_and_moviefile.close_file() #bruce 050427
self.isOpen = False #bruce 050425 guess: see if this fixes some bugs
if _DEBUG1:
print "self.isOpen = False #bruce 050425 guess: see if this fixes some bugs" ###@@@
## self.movend() # Unfreeze atoms.
if self.startFrame != self.currentFrame:
self.assy.changed()
#bruce 050427 comment: this [i.e. having this condition rather than 'if 1' [060107]]
# only helps if nothing else in playing a movie does this...
# I'm not sure if that's still true (or if it was in the older code, either).
return | [
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OpenKMIP/PyKMIP | c0c980395660ea1b1a8009e97f17ab32d1100233 | kmip/pie/client.py | python | ProxyKmipClient._build_common_attributes | (self, operation_policy_name=None) | return common_attributes | Build a list of common attributes that are shared across
symmetric as well as asymmetric objects | Build a list of common attributes that are shared across
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] | def _build_common_attributes(self, operation_policy_name=None):
'''
Build a list of common attributes that are shared across
symmetric as well as asymmetric objects
'''
common_attributes = []
if operation_policy_name:
common_attributes.append(
self.attribute_factory.create_attribute(
enums.AttributeType.OPERATION_POLICY_NAME,
operation_policy_name
)
)
return common_attributes | [
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metabrainz/listenbrainz-server | 391a0b91ac3a48398027467651ce3160765c7f37 | listenbrainz_spark/utils/__init__.py | python | copy | (hdfs_src_path: str, hdfs_dst_path: str, overwrite: bool = False) | Copy a file or folder in HDFS
Args:
hdfs_src_path – Source path.
hdfs_dst_path – Destination path. If the path already exists and is a directory, the source will be copied into it.
overwrite - Wether to overwrite the path if it already exists. | Copy a file or folder in HDFS | [
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] | def copy(hdfs_src_path: str, hdfs_dst_path: str, overwrite: bool = False):
""" Copy a file or folder in HDFS
Args:
hdfs_src_path – Source path.
hdfs_dst_path – Destination path. If the path already exists and is a directory, the source will be copied into it.
overwrite - Wether to overwrite the path if it already exists.
"""
walk = hdfs_walk(hdfs_src_path)
for (root, dirs, files) in walk:
for _file in files:
src_file_path = os.path.join(root, _file)
dst_file_path = os.path.join(hdfs_dst_path, os.path.relpath(src_file_path, hdfs_src_path))
with hdfs_connection.client.read(src_file_path) as reader:
with hdfs_connection.client.write(dst_file_path, overwrite=overwrite) as writer:
writer.write(reader.read()) | [
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ewels/MultiQC | 9b953261d3d684c24eef1827a5ce6718c847a5af | multiqc/modules/picard/BaseDistributionByCycleMetrics.py | python | parse_reports | (self) | return len(self.picard_baseDistributionByCycle_data) | Find Picard BaseDistributionByCycleMetrics reports and parse their data | Find Picard BaseDistributionByCycleMetrics reports and parse their data | [
"Find",
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"reports",
"and",
"parse",
"their",
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] | def parse_reports(self):
"""Find Picard BaseDistributionByCycleMetrics reports and parse their data"""
# Set up vars
self.picard_baseDistributionByCycle_data = dict()
self.picard_baseDistributionByCycle_samplestats = dict()
# Go through logs and find Metrics
base_dist_files = self.find_log_files("picard/basedistributionbycycle", filehandles=True)
for f in base_dist_files:
try:
lines = iter(f["f"])
# read through the header of the file to obtain the
# sample name
clean_fn = lambda n: self.clean_s_name(n, f)
s_name = read_sample_name(lines, clean_fn, "BaseDistributionByCycle")
assert s_name is not None
# pull out the data
data = read_base_distrib_data(lines)
assert data is not None
# data should be a hierarchical dict
# data[read_end][cycle]
assert not (set(data) - set([1, 2]))
# set up the set of s_names
if 2 in set(data):
s_names = {1: "%s_R1" % s_name, 2: "%s_R2" % s_name}
else:
s_names = {1: s_name}
previously_used = set(s_names.values()) & set(self.picard_baseDistributionByCycle_data)
if previously_used:
for duped_name in previously_used:
log.debug("Duplicate sample name found in {}! " "Overwriting: {}".format(f["fn"], duped_name))
for name in s_names.values():
self.add_data_source(f, name, section="BaseDistributionByCycle")
for read_end in s_names:
data_by_cycle = data[read_end]
s_name = s_names[read_end]
self.picard_baseDistributionByCycle_data[s_name] = data_by_cycle
samplestats = {
"sum_pct_a": 0,
"sum_pct_c": 0,
"sum_pct_g": 0,
"sum_pct_t": 0,
"sum_pct_n": 0,
"cycle_count": 0,
}
self.picard_baseDistributionByCycle_samplestats[s_name] = samplestats
for c, row in data_by_cycle.items():
pct_a, pct_c, pct_g, pct_t, pct_n = row
samplestats["sum_pct_a"] += pct_a
samplestats["sum_pct_c"] += pct_c
samplestats["sum_pct_g"] += pct_g
samplestats["sum_pct_t"] += pct_t
samplestats["sum_pct_n"] += pct_n
samplestats["cycle_count"] += len(data_by_cycle.keys())
except AssertionError:
pass
# Calculate summed mean values for all read orientations
for s_name, v in self.picard_baseDistributionByCycle_samplestats.items():
v["mean_pct_a"] = v["sum_pct_a"] / v["cycle_count"]
v["mean_pct_c"] = v["sum_pct_c"] / v["cycle_count"]
v["mean_pct_g"] = v["sum_pct_g"] / v["cycle_count"]
v["mean_pct_t"] = v["sum_pct_t"] / v["cycle_count"]
# Filter to strip out ignored sample names
self.picard_baseDistributionByCycle_data = self.ignore_samples(self.picard_baseDistributionByCycle_data)
if len(self.picard_baseDistributionByCycle_data) > 0:
# Write parsed data to a file
self.write_data_file(self.picard_baseDistributionByCycle_samplestats, "multiqc_picard_baseContent")
# Plot the data and add section
pconfig = {
"id": "picard_base_distribution_by_cycle",
"title": "Picard: Base Distribution",
"ylab": "%",
"xlab": "Cycle #",
"xDecimals": False,
"tt_label": "<b>cycle {point.x}</b>: {point.y:.2f} %",
"ymax": 100,
"ymin": 0,
"data_labels": [
{"name": "% Adenine", "ylab": "% Adenine"},
{"name": "% Cytosine", "ylab": "% Cytosine"},
{"name": "% Guanine", "ylab": "% Guanine"},
{"name": "% Thymine", "ylab": "% Thymine"},
{"name": "% Undetermined", "ylab": "% Undetermined"},
],
}
# build list of linegraphs
linegraph_data = [{}, {}, {}, {}, {}]
for s_name, cycles in self.picard_baseDistributionByCycle_data.items():
reformat_items = lambda n: {cycle: tup[n] for cycle, tup in cycles.items()}
for lg, index in zip(linegraph_data, range(5)):
lg[s_name] = reformat_items(index)
self.add_section(
name="Base Distribution",
anchor="picard-base-distribution-by-cycle",
description="Plot shows the distribution of bases by cycle.",
plot=linegraph.plot(linegraph_data, pconfig),
)
# Return the number of detected samples to the parent module
return len(self.picard_baseDistributionByCycle_data) | [
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stanislav-web/OpenDoor | fbdffd12b25c574785e9b8a7c6362037bf93cf98 | src/core/helper/helper.py | python | Helper.filter_directory_string | (str) | return str.strip() | Filter directory string
:param str string: input string
:return: str | Filter directory string | [
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] | def filter_directory_string(str):
"""
Filter directory string
:param str string: input string
:return: str
"""
str = str.strip("\n")
if True is str.startswith('/'):
str = str[1:]
return str.strip() | [
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naftaliharris/tauthon | 5587ceec329b75f7caf6d65a036db61ac1bae214 | Mac/Demo/applescript/Disk_Copy/Utility_Events.py | python | Utility_Events_Events.log | (self, _object, _attributes={}, **_arguments) | log: Add a string to the log window
Required argument: the string to add to the log window
Keyword argument time_stamp: Should the log entry be time-stamped? (false if not supplied)
Keyword argument _attributes: AppleEvent attribute dictionary | log: Add a string to the log window
Required argument: the string to add to the log window
Keyword argument time_stamp: Should the log entry be time-stamped? (false if not supplied)
Keyword argument _attributes: AppleEvent attribute dictionary | [
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"""log: Add a string to the log window
Required argument: the string to add to the log window
Keyword argument time_stamp: Should the log entry be time-stamped? (false if not supplied)
Keyword argument _attributes: AppleEvent attribute dictionary
"""
_code = 'UTIL'
_subcode = 'LOG '
aetools.keysubst(_arguments, self._argmap_log)
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_reply, _arguments, _attributes = self.send(_code, _subcode,
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if _arguments.has_key('errn'):
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# XXXX Optionally decode result
if _arguments.has_key('----'):
return _arguments['----'] | [
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XX-net/XX-Net | a9898cfcf0084195fb7e69b6bc834e59aecdf14f | python3.8.2/Lib/site-packages/pip/_vendor/requests/api.py | python | put | (url, data=None, **kwargs) | return request('put', url, data=data, **kwargs) | r"""Sends a PUT request.
:param url: URL for the new :class:`Request` object.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) json data to send in the body of the :class:`Request`.
:param \*\*kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response | r"""Sends a PUT request. | [
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] | def put(url, data=None, **kwargs):
r"""Sends a PUT request.
:param url: URL for the new :class:`Request` object.
:param data: (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the :class:`Request`.
:param json: (optional) json data to send in the body of the :class:`Request`.
:param \*\*kwargs: Optional arguments that ``request`` takes.
:return: :class:`Response <Response>` object
:rtype: requests.Response
"""
return request('put', url, data=data, **kwargs) | [
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mchristopher/PokemonGo-DesktopMap | ec37575f2776ee7d64456e2a1f6b6b78830b4fe0 | app/pylibs/win32/gevent/greenlet.py | python | Greenlet.join | (self, timeout=None) | Wait until the greenlet finishes or *timeout* expires.
Return ``None`` regardless. | Wait until the greenlet finishes or *timeout* expires.
Return ``None`` regardless. | [
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"."
] | def join(self, timeout=None):
"""Wait until the greenlet finishes or *timeout* expires.
Return ``None`` regardless.
"""
if self.ready():
return
switch = getcurrent().switch
self.rawlink(switch)
try:
t = Timeout._start_new_or_dummy(timeout)
try:
result = self.parent.switch()
if result is not self:
raise InvalidSwitchError('Invalid switch into Greenlet.join(): %r' % (result, ))
finally:
t.cancel()
except Timeout as ex:
self.unlink(switch)
if ex is not t:
raise
except:
self.unlink(switch)
raise | [
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jacoxu/encoder_decoder | 6829c3bc42105aedfd1b8a81c81be19df4326c0a | keras/backend/tensorflow_backend.py | python | prod | (x, axis=None, keepdims=False) | return tf.reduce_prod(x, reduction_indices=axis, keep_dims=keepdims) | Multiply the values in a tensor, alongside the specified axis. | Multiply the values in a tensor, alongside the specified axis. | [
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] | def prod(x, axis=None, keepdims=False):
'''Multiply the values in a tensor, alongside the specified axis.
'''
axis = normalize_axis(axis, ndim(x))
return tf.reduce_prod(x, reduction_indices=axis, keep_dims=keepdims) | [
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vinta/haul | 234024ab8452ea2f41b18561377295cf2879fb20 | haul/finders/pipeline/css.py | python | background_image_finder | (pipeline_index,
soup,
finder_image_urls=[],
*args, **kwargs) | return output | Find image URL in background-image
Example:
<div style="width: 100%; height: 100%; background-image: url(http://distilleryimage10.ak.instagram.com/bde04558a43b11e28e5d22000a1f979a_7.jpg);" class="Image iLoaded iWithTransition Frame" src="http://distilleryimage10.ak.instagram.com/bde04558a43b11e28e5d22000a1f979a_7.jpg"></div>
to
http://distilleryimage10.ak.instagram.com/bde04558a43b11e28e5d22000a1f979a_7.jpg | Find image URL in background-image | [
"Find",
"image",
"URL",
"in",
"background",
"-",
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] | def background_image_finder(pipeline_index,
soup,
finder_image_urls=[],
*args, **kwargs):
"""
Find image URL in background-image
Example:
<div style="width: 100%; height: 100%; background-image: url(http://distilleryimage10.ak.instagram.com/bde04558a43b11e28e5d22000a1f979a_7.jpg);" class="Image iLoaded iWithTransition Frame" src="http://distilleryimage10.ak.instagram.com/bde04558a43b11e28e5d22000a1f979a_7.jpg"></div>
to
http://distilleryimage10.ak.instagram.com/bde04558a43b11e28e5d22000a1f979a_7.jpg
"""
now_finder_image_urls = []
for tag in soup.find_all(style=True):
style_string = tag['style']
if 'background-image' in style_string.lower():
style = cssutils.parseStyle(style_string)
background_image = style.getProperty('background-image')
if background_image:
for property_value in background_image.propertyValue:
background_image_url = str(property_value.value)
if background_image_url:
if (background_image_url not in finder_image_urls) and \
(background_image_url not in now_finder_image_urls):
now_finder_image_urls.append(background_image_url)
output = {}
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sfepy/sfepy | 02ec7bb2ab39ee1dfe1eb4cd509f0ffb7dcc8b25 | sfepy/discrete/common/mappings.py | python | get_mapping_data | (name, field, integral, region=None, integration='volume') | return data | General helper function for accessing reference mapping data.
Get data attribute `name` from reference mapping corresponding to
`field` in `region` in quadrature points of the given `integral` and
`integration` type.
Parameters
----------
name : str
The reference mapping attribute name.
field : Field instance
The field defining the reference mapping.
integral : Integral instance
The integral defining quadrature points.
region : Region instance, optional
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integration : one of ('volume', 'surface', 'surface_extra')
The integration type.
Returns
-------
data : array
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Assumes the same element geometry in all element groups of the field! | General helper function for accessing reference mapping data. | [
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"""
General helper function for accessing reference mapping data.
Get data attribute `name` from reference mapping corresponding to
`field` in `region` in quadrature points of the given `integral` and
`integration` type.
Parameters
----------
name : str
The reference mapping attribute name.
field : Field instance
The field defining the reference mapping.
integral : Integral instance
The integral defining quadrature points.
region : Region instance, optional
If given, use the given region instead of `field` region.
integration : one of ('volume', 'surface', 'surface_extra')
The integration type.
Returns
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data : array
The required data merged for all element groups.
Notes
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Assumes the same element geometry in all element groups of the field!
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data = None
if region is None:
region = field.region
geo, _ = field.get_mapping(region, integral, integration)
data = getattr(geo, name)
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securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/benchmarks/src/benchmarks/sympy/sympy/functions/combinatorial/factorials.py | python | binomial._eval_expand_func | (self, **hints) | Function to expand binomial(n,k) when m is positive integer
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microsoft/msticpy | 2a401444ee529114004f496f4c0376ff25b5268a | msticpy/nbtools/nbinit.py | python | _err_output | (*args) | Output to IPython display or print - always output regardless of verbosity. | Output to IPython display or print - always output regardless of verbosity. | [
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facebookresearch/fastMRI | 13560d2f198cc72f06e01675e9ecee509ce5639a | fastmri/evaluate.py | python | nmse | (gt: np.ndarray, pred: np.ndarray) | return np.linalg.norm(gt - pred) ** 2 / np.linalg.norm(gt) ** 2 | Compute Normalized Mean Squared Error (NMSE) | Compute Normalized Mean Squared Error (NMSE) | [
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Source-Python-Dev-Team/Source.Python | d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb | addons/source-python/Python3/distutils/cygwinccompiler.py | python | CygwinCCompiler._compile | (self, obj, src, ext, cc_args, extra_postargs, pp_opts) | Compiles the source by spawning GCC and windres if needed. | Compiles the source by spawning GCC and windres if needed. | [
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quantumlib/OpenFermion | 6187085f2a7707012b68370b625acaeed547e62b | dev_tools/incremental_coverage.py | python | determine_ignored_lines | (content: str) | return {e + 1 for e in result} | [] | def determine_ignored_lines(content: str) -> Set[int]:
lines = content.split('\n')
result = [] # type: List[int]
i = 0
while i < len(lines):
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mkeeter/kokopelli | c99b7909e138c42c7d5c99927f5031f021bffd77 | koko/cam/panel.py | python | OutputPanel.construct | (self, title=None, parameters=[], start=False) | Constructs UI elements for an OutputPanel
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@param start Boolean indicating if the panel should show a Start button
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if title is not None:
FabPanel.construct(self, title, parameters)
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# wx.Button to generate toolpath
self.gen_button = wx.Button(self, id=wx.ID_ANY, label='Generate')
self.gen_button.Bind(wx.EVT_BUTTON, self.parent.start)
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# wx.Button to save toolpath
self.save_button = wx.Button(self, id=wx.ID_ANY, label='Save')
self.save_button.Enable(False)
self.save_button.Bind(wx.EVT_BUTTON, self.save)
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hs.Add(self.save_button, flag=wx.ALL, border=5)
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if start:
self.start_button = wx.Button(self, id=wx.ID_ANY, label='Start')
self.start_button.Enable(False)
self.start_button.Bind(wx.EVT_BUTTON, self.start)
hs.Add(self.start_button, flag=wx.ALL, border=5)
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self.start_button = None
sizer = self.GetSizer()
sizer.Add(hs, flag=wx.TOP|wx.CENTER, border=5)
self.SetSizerAndFit(sizer) | [
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toandaominh1997/EfficientDet.Pytorch | fbe56e58c9a2749520303d2d380427e5f01305ba | models/efficientdet.py | python | EfficientDet.freeze_bn | (self) | Freeze BatchNorm layers. | Freeze BatchNorm layers. | [
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home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/gtfs/sensor.py | python | GTFSDepartureSensor.icon | (self) | return self._icon | Icon to use in the frontend, if any. | Icon to use in the frontend, if any. | [
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yuxiaokui/Intranet-Penetration | f57678a204840c83cbf3308e3470ae56c5ff514b | proxy/XX-Net/code/default/gae_proxy/server/lib/webob/acceptparse.py | python | Accept.parse | (value) | Parse ``Accept-*`` style header.
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"""
Parse ``Accept-*`` style header.
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name = match.group(1)
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quality = match.group(2) or ''
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devAmoghS/Machine-Learning-with-Python | 4bd52836f48e1e52b878d64a39e89c31dc47bfb1 | helpers/gradient_descent.py | python | negate | (f) | return lambda *args, **kwargs: -f(*args, **kwargs) | return a function that for any input x returns -f(x) | return a function that for any input x returns -f(x) | [
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guildai/guildai | 1665985a3d4d788efc1a3180ca51cc417f71ca78 | guild/external/pip/_vendor/lockfile/pidlockfile.py | python | PIDLockFile.release | (self) | Release the lock.
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plasticityai/magnitude | 7ac0baeaf181263b661c3ae00643d21e3fd90216 | pymagnitude/third_party/allennlp/nn/util.py | python | batched_index_select | (target ,
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----------
target : ``torch.Tensor``, required.
A 3 dimensional tensor of shape (batch_size, sequence_length, embedding_size).
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indices : ``torch.LongTensor``
A tensor of shape (batch_size, ...), where each element is an index into the
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flattened_indices : Optional[torch.Tensor], optional (default = None)
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Returns
-------
selected_targets : ``torch.Tensor``
A tensor with shape [indices.size(), target.size(-1)] representing the embedded indices
extracted from the batch flattened target tensor. | u"""
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indices : ``torch.LongTensor``
A tensor of shape (batch_size, ...), where each element is an index into the
``sequence_length`` dimension of the ``target`` tensor.
flattened_indices : Optional[torch.Tensor], optional (default = None)
An optional tensor representing the result of calling :func:~`flatten_and_batch_shift_indices`
on ``indices``. This is helpful in the case that the indices can be flattened once and
cached for many batch lookups.
Returns
-------
selected_targets : ``torch.Tensor``
A tensor with shape [indices.size(), target.size(-1)] representing the embedded indices
extracted from the batch flattened target tensor.
"""
if flattened_indices is None:
# Shape: (batch_size * d_1 * ... * d_n)
flattened_indices = flatten_and_batch_shift_indices(indices, target.size(1))
# Shape: (batch_size * sequence_length, embedding_size)
flattened_target = target.view(-1, target.size(-1))
# Shape: (batch_size * d_1 * ... * d_n, embedding_size)
flattened_selected = flattened_target.index_select(0, flattened_indices)
selected_shape = list(indices.size()) + [target.size(-1)]
# Shape: (batch_size, d_1, ..., d_n, embedding_size)
selected_targets = flattened_selected.view(*selected_shape)
return selected_targets | [
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prompt-toolkit/python-prompt-toolkit | e9eac2eb59ec385e81742fa2ac623d4b8de00925 | prompt_toolkit/key_binding/bindings/named_commands.py | python | uppercase_word | (event: E) | Uppercase the current (or following) word. | Uppercase the current (or following) word. | [
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] | def uppercase_word(event: E) -> None:
"""
Uppercase the current (or following) word.
"""
buff = event.current_buffer
for i in range(event.arg):
pos = buff.document.find_next_word_ending()
words = buff.document.text_after_cursor[:pos]
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VirtueSecurity/aws-extender | d123b7e1a845847709ba3a481f11996bddc68a1c | BappModules/boto/elasticache/layer1.py | python | ElastiCacheConnection.delete_cache_security_group | (self, cache_security_group_name) | return self._make_request(
action='DeleteCacheSecurityGroup',
verb='POST',
path='/', params=params) | The DeleteCacheSecurityGroup operation deletes a cache
security group.
You cannot delete a cache security group if it is associated
with any cache clusters.
:type cache_security_group_name: string
:param cache_security_group_name:
The name of the cache security group to delete.
You cannot delete the default security group. | The DeleteCacheSecurityGroup operation deletes a cache
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You cannot delete a cache security group if it is associated
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] | def delete_cache_security_group(self, cache_security_group_name):
"""
The DeleteCacheSecurityGroup operation deletes a cache
security group.
You cannot delete a cache security group if it is associated
with any cache clusters.
:type cache_security_group_name: string
:param cache_security_group_name:
The name of the cache security group to delete.
You cannot delete the default security group.
"""
params = {
'CacheSecurityGroupName': cache_security_group_name,
}
return self._make_request(
action='DeleteCacheSecurityGroup',
verb='POST',
path='/', params=params) | [
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tomplus/kubernetes_asyncio | f028cc793e3a2c519be6a52a49fb77ff0b014c9b | kubernetes_asyncio/client/models/v1_config_map_key_selector.py | python | V1ConfigMapKeySelector.__repr__ | (self) | return self.to_str() | For `print` and `pprint` | For `print` and `pprint` | [
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"""For `print` and `pprint`"""
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misterch0c/shadowbroker | e3a069bea47a2c1009697941ac214adc6f90aa8d | windows/Resources/Python/Core/Lib/cmd.py | python | Cmd.postcmd | (self, stop, line) | return stop | Hook method executed just after a command dispatch is finished. | Hook method executed just after a command dispatch is finished. | [
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] | def postcmd(self, stop, line):
"""Hook method executed just after a command dispatch is finished."""
return stop | [
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gramps-project/gramps | 04d4651a43eb210192f40a9f8c2bad8ee8fa3753 | gramps/gen/simple/_simpletable.py | python | SimpleTable.row_sort_val | (self, col, val) | Add a row of data to sort by. | Add a row of data to sort by. | [
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] | def row_sort_val(self, col, val):
"""
Add a row of data to sort by.
"""
self._sort_vals[col].append(val) | [
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twisted/twisted | dee676b040dd38b847ea6fb112a712cb5e119490 | src/twisted/words/protocols/jabber/xmlstream.py | python | XmlStream.reset | (self) | Reset XML Stream.
Resets the XML Parser for incoming data. This is to be used after
successfully negotiating a new layer, e.g. TLS and SASL. Note that
registered event observers will continue to be in place. | Reset XML Stream. | [
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] | def reset(self):
"""
Reset XML Stream.
Resets the XML Parser for incoming data. This is to be used after
successfully negotiating a new layer, e.g. TLS and SASL. Note that
registered event observers will continue to be in place.
"""
self._headerSent = False
self._initializeStream() | [
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1040003585/WebScrapingWithPython | a770fa5b03894076c8c9539b1ffff34424ffc016 | portia_examle/lib/python2.7/site-packages/pip/_vendor/pkg_resources/__init__.py | python | safe_version | (version) | Convert an arbitrary string to a standard version string | Convert an arbitrary string to a standard version string | [
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"""
Convert an arbitrary string to a standard version string
"""
try:
# normalize the version
return str(packaging.version.Version(version))
except packaging.version.InvalidVersion:
version = version.replace(' ', '.')
return re.sub('[^A-Za-z0-9.]+', '-', version) | [
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Komodo/KomodoEdit | 61edab75dce2bdb03943b387b0608ea36f548e8e | src/codeintel/play/core.py | python | PyApp.SetMacAboutMenuItemId | (*args, **kwargs) | return _core.PyApp_SetMacAboutMenuItemId(*args, **kwargs) | SetMacAboutMenuItemId(long val) | SetMacAboutMenuItemId(long val) | [
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"""SetMacAboutMenuItemId(long val)"""
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nephila/djangocms-blog | d18382808766548c0ec1b9f0dabe443d5430aebf | djangocms_blog/cms_menus.py | python | BlogNavModifier.modify | (self, request, nodes, namespace, root_id, post_cut, breadcrumb) | return nodes | Actual modifier function
:param request: request
:param nodes: complete list of nodes
:param namespace: Menu namespace
:param root_id: eventual root_id
:param post_cut: flag for modifier stage
:param breadcrumb: flag for modifier stage
:return: nodeslist | Actual modifier function
:param request: request
:param nodes: complete list of nodes
:param namespace: Menu namespace
:param root_id: eventual root_id
:param post_cut: flag for modifier stage
:param breadcrumb: flag for modifier stage
:return: nodeslist | [
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"""
Actual modifier function
:param request: request
:param nodes: complete list of nodes
:param namespace: Menu namespace
:param root_id: eventual root_id
:param post_cut: flag for modifier stage
:param breadcrumb: flag for modifier stage
:return: nodeslist
"""
app = None
config = None
if getattr(request, "current_page", None) and request.current_page.application_urls:
app = apphook_pool.get_apphook(request.current_page.application_urls)
if app and app.app_config:
namespace = resolve(request.path).namespace
if not self._config.get(namespace, False):
self._config[namespace] = app.get_config(namespace)
config = self._config[namespace]
try:
if config and (not isinstance(config, BlogConfig) or config.menu_structure != MENU_TYPE_CATEGORIES):
return nodes
except AttributeError: # pragma: no cover
# in case `menu_structure` is not present in config
return nodes
if post_cut:
return nodes
current_post = getattr(request, get_setting("CURRENT_POST_IDENTIFIER"), None)
category = None
if current_post and current_post.__class__ == Post:
category = current_post.categories.first()
if not category:
return nodes
for node in nodes:
if "{}-{}".format(category.__class__.__name__, category.pk) == node.id:
node.selected = True
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galaxyproject/galaxy | 4c03520f05062e0f4a1b3655dc0b7452fda69943 | lib/galaxy/webapps/galaxy/api/annotations.py | python | BaseAnnotationsController._get_item_from_id | (self, trans: ProvidesHistoryContext, idstr) | Return item with annotation association. | Return item with annotation association. | [
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googleads/googleads-python-lib | b3b42a6deedbe6eaa1c9b30183a9eae3f9e9a7ee | examples/ad_manager/v202108/order_service/get_all_orders.py | python | main | (client) | [] | def main(client):
# Initialize appropriate service.
order_service = client.GetService('OrderService', version='v202108')
# Create a statement to select orders.
statement = ad_manager.StatementBuilder(version='v202108')
# Retrieve a small amount of orders at a time, paging
# through until all orders have been retrieved.
while True:
response = order_service.getOrdersByStatement(statement.ToStatement())
if 'results' in response and len(response['results']):
for order in response['results']:
# Print out some information for each order.
print('Order with ID "%d" and name "%s" was found.\n' % (order['id'],
order['name']))
statement.offset += statement.limit
else:
break
print('\nNumber of results found: %s' % response['totalResultSetSize']) | [
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openhatch/oh-mainline | ce29352a034e1223141dcc2f317030bbc3359a51 | vendor/packages/twisted/twisted/protocols/basic.py | python | NetstringReceiver._handleParseError | (self) | Terminates the connection and sets the flag C{self.brokenPeer}. | Terminates the connection and sets the flag C{self.brokenPeer}. | [
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"""
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"""
self.transport.loseConnection()
self.brokenPeer = 1 | [
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capnproto/pycapnp | d1bd4cb2569bfde3a8aaf46729e9dc130aa00ca0 | buildutils/bundle.py | python | fetch_archive | (savedir, url, fname, force=False) | return dest | download an archive to a specific location | download an archive to a specific location | [
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] | def fetch_archive(savedir, url, fname, force=False):
"""download an archive to a specific location"""
dest = pjoin(savedir, fname)
if os.path.exists(dest) and not force:
print("already have %s" % fname)
return dest
print("fetching %s into %s" % (url, savedir))
if not os.path.exists(savedir):
os.makedirs(savedir)
req = urlopen(url)
with open(dest, "wb") as f:
f.write(req.read())
return dest | [
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makerbot/ReplicatorG | d6f2b07785a5a5f1e172fb87cb4303b17c575d5d | skein_engines/skeinforge-47/fabmetheus_utilities/geometry/creation/gear.py | python | getToothProfileCylinder | (derivation, pitchRadius, teeth) | return getToothProfileCylinderByProfile(derivation, pitchRadius, teeth, toothProfileHalf) | Get profile for one tooth of a cylindrical gear. | Get profile for one tooth of a cylindrical gear. | [
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] | def getToothProfileCylinder(derivation, pitchRadius, teeth):
'Get profile for one tooth of a cylindrical gear.'
toothProfileHalfCylinder = getToothProfileHalfCylinder(derivation, pitchRadius)
toothProfileHalfCylinder = getThicknessMultipliedPath(toothProfileHalfCylinder, derivation.toothThicknessMultiplier)
toothProfileHalf = []
innerRadius = pitchRadius - derivation.dedendum
for point in toothProfileHalfCylinder:
if abs(point) >= innerRadius:
toothProfileHalf.append(point)
return getToothProfileCylinderByProfile(derivation, pitchRadius, teeth, toothProfileHalf) | [
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rcorcs/NatI | fdf014f4292afdc95250add7b6658468043228e1 | en/parser/nltk_lite/semantics/utilities.py | python | text_parse | (inputs, grammar, trace=0) | return parses | Convert input sentences into syntactic trees. | Convert input sentences into syntactic trees. | [
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] | def text_parse(inputs, grammar, trace=0):
"""
Convert input sentences into syntactic trees.
"""
parses = {}
for sent in inputs:
tokens = list(tokenize.whitespace(sent))
parser = grammar.earley_parser(trace=trace)
syntrees = parser.get_parse_list(tokens)
parses[sent] = syntrees
return parses | [
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IronLanguages/main | a949455434b1fda8c783289e897e78a9a0caabb5 | External.LCA_RESTRICTED/Languages/IronPython/27/Lib/logging/__init__.py | python | Filterer.addFilter | (self, filter) | Add the specified filter to this handler. | Add the specified filter to this handler. | [
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"""
Add the specified filter to this handler.
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PythonCharmers/python-future | 80523f383fbba1c6de0551e19d0277e73e69573c | src/future/backports/email/message.py | python | Message.get_content_charset | (self, failobj=None) | return charset.lower() | Return the charset parameter of the Content-Type header.
The returned string is always coerced to lower case. If there is no
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failobj is returned.
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# RFC 2231 encoded, so decode it, and it better end up as ascii.
pcharset = charset[0] or 'us-ascii'
try:
# LookupError will be raised if the charset isn't known to
# Python. UnicodeError will be raised if the encoded text
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as_bytes = charset[2].encode('raw-unicode-escape')
charset = str(as_bytes, pcharset)
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lda-project/lda | b8afeda0bf740a86ce1f11f48f2a6a3735b978be | lda/lda.py | python | LDA.fit | (self, X, y=None) | return self | Fit the model with X.
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wistbean/learn_python3_spider | 73c873f4845f4385f097e5057407d03dd37a117b | stackoverflow/venv/lib/python3.6/site-packages/scrapy/commands/__init__.py | python | ScrapyCommand.long_desc | (self) | return self.short_desc() | A long description of the command. Return short description when not
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securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/lib-python/3/configparser.py | python | InterpolationMissingOptionError.__init__ | (self, option, section, rawval, reference) | [] | def __init__(self, option, section, rawval, reference):
msg = ("Bad value substitution:\n"
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rlgraph/rlgraph | 428fc136a9a075f29a397495b4226a491a287be2 | rlgraph/components/policies/policy.py | python | Policy._graph_fn_get_distribution_entropies | (self, flat_key, parameters) | return self.distributions[flat_key].entropy(parameters) | Pushes `parameters` through the respective self.distributions' `entropy` API-methods and returns a
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Args:
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czhu95/ternarynet | 1a67251f7f5a1cdf854f87f90f841655c7c9f11c | tensorpack/dataflow/imgaug/crop.py | python | CenterCrop.__init__ | (self, crop_shape) | :param crop_shape: a shape like (h, w) | :param crop_shape: a shape like (h, w) | [
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etetoolkit/ete | 2b207357dc2a40ccad7bfd8f54964472c72e4726 | ete3/clustering/clustertree.py | python | ClusterNode._get_prof | (self) | return self._profile | [] | def _get_prof(self):
if self._profile is None:
self._calculate_avg_profile()
return self._profile | [
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rmountjoy92/VectorCloud | 29e705d6636412c44034baaf8d9020e01a11502a | vectorcloud/rest_api/resources.py | python | AddCommand.put | (self) | return {'Commands': command_list} | [] | def put(self):
command = request.form['data']
db_command = Command(command=command)
db.session.add(db_command)
db.session.commit()
commands = Command.query.all()
command_list = []
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zhang-can/ECO-pytorch | 355c3866b35cdaa5d451263c1f3291c150e22eeb | tf_model_zoo/models/im2txt/im2txt/show_and_tell_model.py | python | ShowAndTellModel.process_image | (self, encoded_image, thread_id=0) | return image_processing.process_image(encoded_image,
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image_format=self.config.image_format) | Decodes and processes an image string.
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Args:
encoded_image: A scalar string Tensor; the encoded image.
thread_id: Preprocessing thread id used to select the ordering of color
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Returns:
A float32 Tensor of shape [height, width, 3]; the processed image.
"""
return image_processing.process_image(encoded_image,
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kubernetes-client/python | 47b9da9de2d02b2b7a34fbe05afb44afd130d73a | kubernetes/client/models/v2beta2_hpa_scaling_policy.py | python | V2beta2HPAScalingPolicy.period_seconds | (self) | return self._period_seconds | Gets the period_seconds of this V2beta2HPAScalingPolicy. # noqa: E501
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Chaffelson/nipyapi | d3b186fd701ce308c2812746d98af9120955e810 | nipyapi/nifi/models/controller_service_dto.py | python | ControllerServiceDTO.referencing_components | (self, referencing_components) | Sets the referencing_components of this ControllerServiceDTO.
All components referencing this controller service.
:param referencing_components: The referencing_components of this ControllerServiceDTO.
:type: list[ControllerServiceReferencingComponentEntity] | Sets the referencing_components of this ControllerServiceDTO.
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Sets the referencing_components of this ControllerServiceDTO.
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:type: list[ControllerServiceReferencingComponentEntity]
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caiiiac/Machine-Learning-with-Python | 1a26c4467da41ca4ebc3d5bd789ea942ef79422f | MachineLearning/venv/lib/python3.5/site-packages/pandas/tseries/holiday.py | python | next_monday_or_tuesday | (dt) | return dt | For second holiday of two adjacent ones!
If holiday falls on Saturday, use following Monday instead;
if holiday falls on Sunday or Monday, use following Tuesday instead
(because Monday is already taken by adjacent holiday on the day before) | For second holiday of two adjacent ones!
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triaquae/triaquae | bbabf736b3ba56a0c6498e7f04e16c13b8b8f2b9 | TriAquae/models/django/core/management/base.py | python | BaseCommand.usage | (self, subcommand) | Return a brief description of how to use this command, by
default from the attribute ``self.help``. | Return a brief description of how to use this command, by
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aws-samples/aws-kube-codesuite | ab4e5ce45416b83bffb947ab8d234df5437f4fca | src/click/core.py | python | CommandCollection.add_source | (self, multi_cmd) | Adds a new multi command to the chain dispatcher. | Adds a new multi command to the chain dispatcher. | [
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edwardlib/observations | 2c8b1ac31025938cb17762e540f2f592e302d5de | observations/r/gaba.py | python | gaba | (path) | return x_train, metadata | Effect of pentazocine on post-operative pain (average VAS scores)
The table shows, separately for males and females, the effect of
pentazocine on post-operative pain profiles (average VAS scores), with
(mbac and fbac) and without (mpl and fpl) preoperatively administered
baclofen. Pain scores are recorded every 20 minutes, from 10 minutes to
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A data frame with 9 observations on the following 7 variables.
`min`
a numeric vector
`mbac`
a numeric vector
`mpl`
a numeric vector
`fbac`
a numeric vector
`fpl`
a numeric vector
`avbac`
a numeric vector
`avplac`
a numeric vector
Gordon, N. C. et al.(1995): 'Enhancement of Morphine Analgesia by the
GABA\ *\_B* against Baclofen'. *Neuroscience* 69: 345-349.
Args:
path: str.
Path to directory which either stores file or otherwise file will
be downloaded and extracted there.
Filename is `gaba.csv`.
Returns:
Tuple of np.ndarray `x_train` with 9 rows and 7 columns and
dictionary `metadata` of column headers (feature names). | Effect of pentazocine on post-operative pain (average VAS scores) | [
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"""Effect of pentazocine on post-operative pain (average VAS scores)
The table shows, separately for males and females, the effect of
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`fbac`
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`fpl`
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`avplac`
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Gordon, N. C. et al.(1995): 'Enhancement of Morphine Analgesia by the
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path: str.
Path to directory which either stores file or otherwise file will
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Filename is `gaba.csv`.
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Tuple of np.ndarray `x_train` with 9 rows and 7 columns and
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import pandas as pd
path = os.path.expanduser(path)
filename = 'gaba.csv'
if not os.path.exists(os.path.join(path, filename)):
url = 'http://dustintran.com/data/r/DAAG/gaba.csv'
maybe_download_and_extract(path, url,
save_file_name='gaba.csv',
resume=False)
data = pd.read_csv(os.path.join(path, filename), index_col=0,
parse_dates=True)
x_train = data.values
metadata = {'columns': data.columns}
return x_train, metadata | [
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/pkg_resources/_vendor/pyparsing.py | python | Group.__init__ | ( self, expr ) | [] | def __init__( self, expr ):
super(Group,self).__init__( expr )
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dgk/django-business-logic | 80c1ee24478bdc0dbb4916cf7603b6514f89af4b | business_logic/rest/serializers.py | python | ReferenceDescriptorListSerializer.get_verbose_name | (self, obj) | return obj.title or obj.content_type.model_class()._meta.verbose_name | [] | def get_verbose_name(self, obj):
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kevoreilly/CAPEv2 | 6cf79c33264624b3604d4cd432cde2a6b4536de6 | modules/processing/network.py | python | payload_from_raw | (raw, linktype=1) | Get the payload from a packet, the data below TCP/UDP basically | Get the payload from a packet, the data below TCP/UDP basically | [
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nathanlopez/Stitch | 8e22e91c94237959c02d521aab58dc7e3d994cea | Configuration/mss/linux.py | python | MSS.enum_display_monitors | (self, force=False) | return self.monitors | Get positions of monitors (see parent class). | Get positions of monitors (see parent class). | [
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''' Get positions of monitors (see parent class). '''
if not self.monitors or force:
self.monitors = []
# All monitors
gwa = XWindowAttributes()
self.xlib.XGetWindowAttributes(self.display, self.root, byref(gwa))
self.monitors.append({
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'top': int(gwa.y),
'width': int(gwa.width),
'height': int(gwa.height),
'monitor': 0
})
# Each monitors
# Fix for XRRGetScreenResources:
# expected LP_Display instance instead of LP_XWindowAttributes
root = cast(self.root, POINTER(Display))
mon = self.xrandr.XRRGetScreenResources(self.display, root)
for num in range(mon.contents.ncrtc):
crtc = self.xrandr.XRRGetCrtcInfo(self.display, mon,
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self.monitors.append({
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'top': int(crtc.contents.y),
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self.xrandr.XRRFreeCrtcInfo(crtc)
self.xrandr.XRRFreeScreenResources(mon)
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oilshell/oil | 94388e7d44a9ad879b12615f6203b38596b5a2d3 | Python-2.7.13/Lib/codeop.py | python | _compile | (source, filename, symbol) | return compile(source, filename, symbol, PyCF_DONT_IMPLY_DEDENT) | [] | def _compile(source, filename, symbol):
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openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.11.28-1/roles/lib_vendored_deps/library/oc_volume.py | python | Yedit.get_entry | (data, key, sep='.') | return data | Get an item from a dictionary with key notation a.b.c
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emesene/emesene | 4548a4098310e21b16437bb36223a7f632a4f7bc | emesene/e3/papylib/Worker.py | python | Worker._handle_action_add_group | (self, name) | handle Action.ACTION_ADD_GROUP | handle Action.ACTION_ADD_GROUP | [
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'''handle Action.ACTION_ADD_GROUP '''
def add_group_fail(*args):
log.error("Error adding a group: %s", args)
#group name
self.session.group_add_failed('')
def add_group_succeed(*args):
#group id
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callback_vect = [add_group_succeed,name]
self.address_book.add_group(name, failed_cb=add_group_fail,
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wistbean/learn_python3_spider | 73c873f4845f4385f097e5057407d03dd37a117b | stackoverflow/venv/lib/python3.6/site-packages/pymongo/message.py | python | _randint | () | return random.randint(MIN_INT32, MAX_INT32) | Generate a pseudo random 32 bit integer. | Generate a pseudo random 32 bit integer. | [
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python-cmd2/cmd2 | c1f6114d52161a3b8a32d3cee1c495d79052e1fb | cmd2/argparse_completer.py | python | ArgparseCompleter._complete_flags | (self, text: str, line: str, begidx: int, endidx: int, matched_flags: List[str]) | return matches | Tab completion routine for a parsers unused flags | Tab completion routine for a parsers unused flags | [
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"""Tab completion routine for a parsers unused flags"""
# Build a list of flags that can be tab completed
match_against = []
for flag in self._flags:
# Make sure this flag hasn't already been used
if flag not in matched_flags:
# Make sure this flag isn't considered hidden
action = self._flag_to_action[flag]
if action.help != argparse.SUPPRESS:
match_against.append(flag)
matches = self._cmd2_app.basic_complete(text, line, begidx, endidx, match_against)
# Build a dictionary linking actions with their matched flag names
matched_actions: Dict[argparse.Action, List[str]] = dict()
for flag in matches:
action = self._flag_to_action[flag]
matched_actions.setdefault(action, [])
matched_actions[action].append(flag)
# For tab completion suggestions, group matched flags by action
for action, option_strings in matched_actions.items():
flag_text = ', '.join(option_strings)
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angr/angr | 4b04d56ace135018083d36d9083805be8146688b | angr/misc/hookset.py | python | HookedMethod.__call__ | (self, *args, **kwargs) | [] | def __call__(self, *args, **kwargs):
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NVIDIA/DeepLearningExamples | 589604d49e016cd9ef4525f7abcc9c7b826cfc5e | TensorFlow/Detection/SSD/models/research/object_detection/core/region_similarity_calculator.py | python | RegionSimilarityCalculator.compare | (self, boxlist1, boxlist2, scope=None) | Computes matrix of pairwise similarity between BoxLists.
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boxlist2: BoxList holding M boxes.
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with tf.name_scope(scope, 'Compare', [boxlist1, boxlist2]) as scope:
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Alfanous-team/alfanous | 594514729473c24efa3908e3107b45a38255de4b | src/alfanous/Support/whoosh/support/levenshtein.py | python | relative | (a, b) | return r | Returns the relative distance between two strings, in the range
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d = distance(a,b)
longer = float(max((len(a), len(b))))
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r = ((longer - d) / longer) * (shorter / longer)
return r | [
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matplotlib/viscm | e9c1f5336706634f8c90c69a99da69dd19c7c45b | viscm/bezierbuilder.py | python | ControlPointModel.remove_point | (self, i) | [] | def remove_point(self, i):
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yanzhou/CnkiSpider | 348d7114f3ffee7b0a134cf6c5d01150433f3fde | src/bs4/builder/_html5lib.py | python | HTML5TreeBuilder.test_fragment_to_document | (self, fragment) | return u'<html><head></head><body>%s</body></html>' % fragment | See `TreeBuilder`. | See `TreeBuilder`. | [
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nerdvegas/rez | d392c65bf63b4bca8106f938cec49144ba54e770 | src/rez/vendor/pygraph/classes/hypergraph.py | python | hypergraph.has_hyperedge | (self, hyperedge) | return hyperedge in self.edge_links | Return whether the requested node exists.
@type hyperedge: hyperedge
@param hyperedge: Hyperedge identifier
@rtype: boolean
@return: Truth-value for hyperedge existence. | Return whether the requested node exists. | [
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@rtype: boolean
@return: Truth-value for hyperedge existence.
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EtienneCmb/visbrain | b599038e095919dc193b12d5e502d127de7d03c9 | visbrain/io/read_data.py | python | read_pickle | (path, vars=None) | Read data from a Pickle (pickle) file. | Read data from a Pickle (pickle) file. | [
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qmlcode/qml | 8bb833cdbbe69405384d6796920c5418dc53b6ba | qml/arad.py | python | get_atomic_symmetric_kernels_arad | (X1, sigmas,
width=0.2, cut_distance=5.0, r_width=1.0, c_width=0.5) | return fget_atomic_symmetric_kernels_arad(X1, Z1_arad, N1, sigmas,
na1, nsigmas, width, cut_distance, r_width, c_width) | Calculates the Gaussian kernel matrix K for atomic ARAD
descriptors for a list of different sigmas. For atomic properties, e.g.
partial charges, chemical shifts, etc.
K is calculated using an OpenMP parallel Fortran routine.
:param X1: ARAD descriptors for molecules in set 1. shape=(number_atoms,5,size)
:type X1: numpy array
:param sigmas: List of sigmas for which to calculate the Kernel matrices.
:type sigmas: list
:return: The kernel matrices for each sigma - shape (number_sigmas, number_atoms1, number_atoms1)
:rtype: numpy array | Calculates the Gaussian kernel matrix K for atomic ARAD
descriptors for a list of different sigmas. For atomic properties, e.g.
partial charges, chemical shifts, etc. | [
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... | def get_atomic_symmetric_kernels_arad(X1, sigmas,
width=0.2, cut_distance=5.0, r_width=1.0, c_width=0.5):
""" Calculates the Gaussian kernel matrix K for atomic ARAD
descriptors for a list of different sigmas. For atomic properties, e.g.
partial charges, chemical shifts, etc.
K is calculated using an OpenMP parallel Fortran routine.
:param X1: ARAD descriptors for molecules in set 1. shape=(number_atoms,5,size)
:type X1: numpy array
:param sigmas: List of sigmas for which to calculate the Kernel matrices.
:type sigmas: list
:return: The kernel matrices for each sigma - shape (number_sigmas, number_atoms1, number_atoms1)
:rtype: numpy array
"""
assert len(X1.shape) == 3
na1 = X1.shape[0]
N1 = np.empty(na1, dtype = np.int32)
Z1_arad = np.zeros((na1, 2))
for i in range(na1):
N1[i] = len(np.where(X1[i,0,:] < cut_distance)[0])
Z1_arad[i] = X1[i,1:3,0]
sigmas = np.array(sigmas)
nsigmas = sigmas.size
return fget_atomic_symmetric_kernels_arad(X1, Z1_arad, N1, sigmas,
na1, nsigmas, width, cut_distance, r_width, c_width) | [
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VirtueSecurity/aws-extender | d123b7e1a845847709ba3a481f11996bddc68a1c | BappModules/boto/kms/layer1.py | python | KMSConnection.retire_grant | (self, grant_token) | return self.make_request(action='RetireGrant',
body=json.dumps(params)) | Retires a grant. You can retire a grant when you're done using
it to clean up. You should revoke a grant when you intend to
actively deny operations that depend on it.
:type grant_token: string
:param grant_token: Token that identifies the grant to be retired. | Retires a grant. You can retire a grant when you're done using
it to clean up. You should revoke a grant when you intend to
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"""
Retires a grant. You can retire a grant when you're done using
it to clean up. You should revoke a grant when you intend to
actively deny operations that depend on it.
:type grant_token: string
:param grant_token: Token that identifies the grant to be retired.
"""
params = {'GrantToken': grant_token, }
return self.make_request(action='RetireGrant',
body=json.dumps(params)) | [
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dimagi/commcare-hq | d67ff1d3b4c51fa050c19e60c3253a79d3452a39 | corehq/apps/app_manager/models.py | python | Application.set_translations | (self, lang, translations) | [] | def set_translations(self, lang, translations):
self.translations[lang] = translations | [
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krintoxi/NoobSec-Toolkit | 38738541cbc03cedb9a3b3ed13b629f781ad64f6 | NoobSecToolkit - MAC OSX/tools/inject/lib/takeover/udf.py | python | UDF.__init__ | (self) | [] | def __init__(self):
self.createdUdf = set()
self.udfs = {}
self.udfToCreate = set() | [
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sabnzbd/sabnzbd | 52d21e94d3cc6e30764a833fe2a256783d1a8931 | sabnzbd/api.py | python | _api_change_opts | (name, kwargs) | return report(keyword="status", data=bool(result > 0)) | API: accepts value(=nzo_id), value2(=pp) | API: accepts value(=nzo_id), value2(=pp) | [
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"""API: accepts value(=nzo_id), value2(=pp)"""
value = kwargs.get("value")
value2 = kwargs.get("value2")
result = 0
if value and value2 and value2.isdigit():
result = sabnzbd.NzbQueue.change_opts(value, int(value2))
return report(keyword="status", data=bool(result > 0)) | [
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BillBillBillBill/Tickeys-linux | 2df31b8665004c58a5d4ab05277f245267d96364 | tickeys/kivy/core/spelling/__init__.py | python | SpellingBase.check | (self, word) | If `word` is a valid word in `self._language` (the currently active
language), returns True. If the word shouldn't be checked, returns
None (e.g. for ''). If it is not a valid word in `self._language`,
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'''
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return False.
:Parameters:
`word` : str
The word to check.
'''
raise NotImplementedError('check() not implemented by abstract ' +
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home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/scsgate/cover.py | python | setup_platform | (
hass: HomeAssistant,
config: ConfigType,
add_entities: AddEntitiesCallback,
discovery_info: DiscoveryInfoType | None = None,
) | Set up the SCSGate cover. | Set up the SCSGate cover. | [
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] | def setup_platform(
hass: HomeAssistant,
config: ConfigType,
add_entities: AddEntitiesCallback,
discovery_info: DiscoveryInfoType | None = None,
) -> None:
"""Set up the SCSGate cover."""
devices = config.get(CONF_DEVICES)
covers = []
logger = logging.getLogger(__name__)
scsgate = hass.data[DOMAIN]
if devices:
for entity_info in devices.values():
if entity_info[CONF_SCS_ID] in scsgate.devices:
continue
name = entity_info[CONF_NAME]
scs_id = entity_info[CONF_SCS_ID]
logger.info("Adding %s scsgate.cover", name)
cover = SCSGateCover(
name=name, scs_id=scs_id, logger=logger, scsgate=scsgate
)
scsgate.add_device(cover)
covers.append(cover)
add_entities(covers) | [
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mdiazcl/fuzzbunch-debian | 2b76c2249ade83a389ae3badb12a1bd09901fd2c | windows/Resources/Python/Core/Lib/shutil.py | python | _get_uid | (name) | Returns an uid, given a user name. | Returns an uid, given a user name. | [
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] | def _get_uid(name):
"""Returns an uid, given a user name."""
if getpwnam is None or name is None:
return
else:
try:
result = getpwnam(name)
except KeyError:
result = None
if result is not None:
return result[2]
return | [
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