hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fa05450d1d7c180250bb2871e4b423856e0a8484 | 475 | py | Python | util/repomirror/validator.py | anwarchk/quay | 23c5120790c619174e7d36784ca5aab7f4eece5c | [
"Apache-2.0"
] | 1 | 2021-05-30T01:54:21.000Z | 2021-05-30T01:54:21.000Z | util/repomirror/validator.py | anwarchk/quay | 23c5120790c619174e7d36784ca5aab7f4eece5c | [
"Apache-2.0"
] | 20 | 2019-12-26T17:32:34.000Z | 2022-03-21T22:18:06.000Z | util/repomirror/validator.py | anwarchk/quay | 23c5120790c619174e7d36784ca5aab7f4eece5c | [
"Apache-2.0"
] | 1 | 2020-06-28T07:49:37.000Z | 2020-06-28T07:49:37.000Z | import logging
from util.config.validators import ConfigValidationException
logger = logging.getLogger(__name__)
class RepoMirrorConfigValidator(object):
""" Helper class for validating the repository mirror configuration. """
def __init__(self, feature_repo_mirror):
self._feature_repo_mirror = feature_repo_mirror
def valid(self):
if not self._feature_repo_mirror:
raise ConfigValidationException('REPO_MIRROR feature not enabled')
return True
| 27.941176 | 74 | 0.791579 | 54 | 475 | 6.611111 | 0.592593 | 0.140056 | 0.190476 | 0.176471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143158 | 475 | 16 | 75 | 29.6875 | 0.87715 | 0.134737 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
fa0f37075faf0a7debb3d66f8d42b652c81a5310 | 1,244 | py | Python | translate/translator.py | raojinlin/cmd-fanyi | 8d747c31bc706df5771133a7e84fb941d1b11849 | [
"MIT"
] | 1 | 2020-07-04T05:56:01.000Z | 2020-07-04T05:56:01.000Z | translate/translator.py | raojinlin/cmd-fanyi | 8d747c31bc706df5771133a7e84fb941d1b11849 | [
"MIT"
] | null | null | null | translate/translator.py | raojinlin/cmd-fanyi | 8d747c31bc706df5771133a7e84fb941d1b11849 | [
"MIT"
] | null | null | null | # encoding: utf-8
class Translator(object):
"""翻译器抽象类"""
user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) " \
"Chrome/73.0.3683.86 Safari/537.36 "
def __init__(self):
self.trans_from = 'zh'
self.trans_to = 'en'
def get_result(self, *args, **kwargs):
"""获取翻译后的结果，类型如'字典(dict)'"""
raise MethodNotImplementedException("subclass of AbstractRequest method get_result not implemented.")
def query(self, *args, **kwargs):
"""单词或文本翻译接口
@return self
"""
return self
def serialize(self, *args, **kwargs):
"""序列化"""
raise MethodNotImplementedException("subclass of AbstractRequest method serialize not implemented.")
def format(self, verbose=0):
"""格式化, 返回格式化的文本"""
raise MethodNotImplementedException("subclass of AbstractRequest method view not implemented.")
def set_trans_from(self, trans_from):
"""待翻译文字语种"""
self.trans_from = trans_from
def set_trans_to(self, trans_to):
"""翻译到哪个语种"""
self.trans_to = trans_to
def get_name(self):
return ""
class MethodNotImplementedException(Exception):
pass
| 27.043478 | 109 | 0.626206 | 139 | 1,244 | 5.460432 | 0.489209 | 0.071146 | 0.051383 | 0.173913 | 0.256917 | 0.256917 | 0 | 0 | 0 | 0 | 0 | 0.032154 | 0.25 | 1,244 | 45 | 110 | 27.644444 | 0.78135 | 0.082797 | 0 | 0 | 0 | 0.045455 | 0.273897 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.363636 | false | 0.045455 | 0 | 0.045455 | 0.590909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
fa19d58e3f83c950e1702f2f32d60a234982993d | 292 | py | Python | spotistory/models/artist.py | babastienne/spotistory | 13c5347c8d13a2f4279be99cf97f1cb89a5453d6 | [
"MIT"
] | 4 | 2017-05-06T14:27:20.000Z | 2021-03-28T07:55:34.000Z | spotistory/models/artist.py | babastienne/spotistory | 13c5347c8d13a2f4279be99cf97f1cb89a5453d6 | [
"MIT"
] | 1 | 2017-05-17T18:27:08.000Z | 2019-12-24T18:39:32.000Z | spotistory/models/artist.py | babastienne/spotistory | 13c5347c8d13a2f4279be99cf97f1cb89a5453d6 | [
"MIT"
] | 1 | 2017-05-05T22:16:41.000Z | 2017-05-05T22:16:41.000Z | class Artist:
def __init__(self, artist_id, uri, title):
self.id = artist_id
self.uri = uri
self.title = title
def __str__(self):
return '{} (id={})'.format(self.title, self.id)
def to_tuple(self):
return (self.id, self.uri, self.title)
| 22.461538 | 55 | 0.575342 | 40 | 292 | 3.925 | 0.325 | 0.11465 | 0.140127 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.284247 | 292 | 12 | 56 | 24.333333 | 0.751196 | 0 | 0 | 0 | 0 | 0 | 0.034247 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.222222 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
fa1db66e1c1aa27edcb283c37f829d70c4733998 | 7,338 | py | Python | composition.py | Chiel92/music-arithmetic | 69e1d181aaff2e08c5a97cccf6b1d6a151cb06c8 | [
"MIT"
] | 2 | 2015-05-16T14:32:31.000Z | 2015-05-16T14:51:38.000Z | composition.py | Chiel92/music-arithmetic | 69e1d181aaff2e08c5a97cccf6b1d6a151cb06c8 | [
"MIT"
] | null | null | null | composition.py | Chiel92/music-arithmetic | 69e1d181aaff2e08c5a97cccf6b1d6a151cb06c8 | [
"MIT"
] | null | null | null | """
This module contains the definition of the composition datatype that we use as
intermediate representation for describing musical pieces.
It is flexible enough to contain various types of tone representations, such as
frequencies, symbols and vectors.
"""
from copy import deepcopy
import math
import fractions
from abc import abstractmethod
from music21 import pitch
Infinity = float('inf')
class Music:
"""
Abstract music class.
"""
@abstractmethod
def stretch(self, duration_factor):
pass
@abstractmethod
def transpose(self, pitch_factor):
pass
class Tone(Music):
"""
Abstract atomic object of a composition.
"""
def __init__(self, duration):
self.duration = duration
def stretch(self, duration_factor):
result = deepcopy(self)
result.duration *= duration_factor
return result
def concat(self, other):
result = Piece()
result[0] = [self]
return result.concat(other)
@abstractmethod
def frequency(self, base_frequency=1):
pass
@abstractmethod
def harmonic_distance(self, other):
pass
def melodic_distance(self, other):
return abs(math.log(2, self.frequency()) - math.log(2, other.frequency()))
class Rest(Tone):
"""
Rests are encoded by a frequency of 0.
"""
def __init__(self, duration=1):
Tone.__init__(self, duration)
def __repr(self):
return 'Rest({})'.format(self.duration)
def transpose(self, pitch_factor):
return Rest(self.duration)
def frequency(self, base_frequency=1):
return 0
def harmonic_distance(self, other):
return float('inf')
class Symbol(Tone):
"""
The usual symbols are allowed.
c2, cis3, bes4, etc.
"""
def __init__(self, symbol, duration=1):
self.symbol = symbol
Tone.__init__(self, duration)
def __repr(self):
return 'Symbol({}, {})'.format(self.symbol, self.duration)
def transpose(self, pitch_factor):
# TODO: try to keep Symbol representation
return Frequency(self.frequency() * pitch_factor, self.duration)
def frequency(self, base_frequency=1):
return base_frequency * pitch.Pitch(self.symbol).frequency
def harmonic_distance(self, other):
return Infinity
class Frequency(Tone):
"""
Tone that represents a raw frequency.
"""
def __init__(self, frequency, duration=1):
self._frequency = frequency
Tone.__init__(self, duration)
def __repr(self):
return 'Frequency({}, {})'.format(self.frequency, self.duration)
def transpose(self, pitch_factor):
return Frequency(self.frequency() * pitch_factor, self.duration)
def frequency(self, base_frequency=1):
return base_frequency * self._frequency
def add(self, other):
return Frequency(self.frequency() * other.frequency())
def substract(self, other):
return Frequency(self.frequency() / other.frequency())
def harmonic_distance(self, other):
return Infinity
class Vector(Tone):
"""
A vector is a 3-tuple (x,y,z) of integers, representing a pitch via the formula
2^x * 3^y * 5^z.
"""
def __init__(self, x=0, y=0, z=0, duration=1):
Tone.__init__(self, duration)
self.powers = (x, y, z)
def __getitem__(self, i):
return self.powers[i]
def __repr__(self):
return 'Vector({}, {})'.format(', '.join(str(p) for p in self.powers),
self.duration)
@staticmethod
def from_frequency(number):
"""
Try factorize given integer in terms of 2,3 and 5.
If number is not integer or no factorization exists, raise ValueError.
"""
frac = fractions.Fraction(number)
powers = [0, 0, 0]
for number, sign in [(frac.numerator, 1), (frac.denominator, -1)]:
for i, prime in enumerate([2, 3, 5]):
while number % prime == 0:
number //= prime
powers[i] += sign
if number != 1:
raise ValueError
return Vector(*powers)
def transpose(self, pitch_factor):
try:
transpose_vector = Vector.from_frequency(pitch_factor)
return self.add(transpose_vector)
except ValueError:
return Frequency(self.frequency() * pitch_factor)
def __str__(self):
x, y, z = self
numerator = 2 ** max(0, x) * 3 ** max(0, y) * 5 ** max(0, z)
denominator = 2 ** -min(0, x) * 3 ** -min(0, y) * 5 ** -min(0, z)
return str(self.powers) + ': ' + str(numerator) + '/' + str(denominator)
def __eq__(self, tone):
return self.powers == tone.powers
def frequency(self, base_frequency=1):
"""Return the pitch of self, with 1 being mapped to the given base_pitch."""
x, y, z = self
return base_frequency * 2 ** x * 3 ** y * 5 ** z
def add(self, other):
"""Add given tone to self. Duration is kept."""
return Vector(*(x + y for x, y in zip(self, other)), duration=self.duration)
def substract(self, other):
"""Substract given tone from self. Duration is kept."""
return Vector(*(x - y for x, y in zip(self, other)), duration=self.duration)
def harmonic_distance(self, other):
"""Return the harmonic distance."""
if not isinstance(other, Vector):
try:
other = Vector.from_frequency(other)
except ValueError:
raise NotImplementedError
difference = self.substract(other)
x, y, z = difference
return abs(2 * x) + abs(3 * y) + abs(5 * z)
# TODO: check whether input are really lists of tones
# TODO: make slicing use constant time
class Piece(dict, Music):
"""Mapping from offsets to lists of tones"""
def __getitem__(self, index, item):
if type(index) == slice:
...
else:
...
def __setitem__(self, item):
...
def stretch(self, duration_factor):
result = Piece()
for offset, tones in self.items():
new_tones = []
for tone in tones:
new_tones.append(tone.stretch(duration_factor))
result[offset * duration_factor] = new_tones
return result
def transpose(self, pitch_factor):
result = Piece()
for offset, tones in self.items():
new_tones = []
for tone in tones:
new_tones.append(tone.transpose(pitch_factor))
result[offset] = new_tones
return result
@property
def duration(self):
return max(offset + tone.duration for offset, tones in self.items()
for tone in tones)
def concat(self, other):
"""Return a piece where other is concatenated after self"""
if isinstance(other, Tone):
other = Piece({0: [other]})
if not isinstance(other, Piece):
raise ValueError
result = deepcopy(self)
for offset, tones in other.items():
result[self.duration + offset] = []
for tone in tones:
result[self.duration + offset].append(deepcopy(tone))
return result
| 27.690566 | 84 | 0.596348 | 882 | 7,338 | 4.835601 | 0.198413 | 0.064713 | 0.038687 | 0.029543 | 0.337632 | 0.306917 | 0.247597 | 0.225791 | 0.18007 | 0.120047 | 0 | 0.011372 | 0.292995 | 7,338 | 264 | 85 | 27.795455 | 0.810717 | 0.146907 | 0 | 0.44375 | 0 | 0 | 0.010507 | 0 | 0 | 0 | 0 | 0.007576 | 0 | 1 | 0.2625 | false | 0.025 | 0.03125 | 0.11875 | 0.5375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
fa2e37352cab9c5b5ac2cbe24374b59ac3973547 | 1,187 | py | Python | xsdata/formats/bindings.py | gramm/xsdata | 082c780757c6d76a5c31a6757276ef6912901ed2 | [
"MIT"
] | null | null | null | xsdata/formats/bindings.py | gramm/xsdata | 082c780757c6d76a5c31a6757276ef6912901ed2 | [
"MIT"
] | null | null | null | xsdata/formats/bindings.py | gramm/xsdata | 082c780757c6d76a5c31a6757276ef6912901ed2 | [
"MIT"
] | null | null | null | import abc
import io
import pathlib
from typing import Any
from typing import Optional
from typing import Type
from typing import TypeVar
T = TypeVar("T")
class AbstractSerializer(abc.ABC):
@abc.abstractmethod
def render(self, obj: object) -> object:
"""Render the given object to the target output format."""
class AbstractParser(abc.ABC):
def from_path(self, path: pathlib.Path, clazz: Optional[Type[T]] = None) -> T:
"""Parse the input file path and return the resulting object tree."""
return self.parse(str(path.resolve()), clazz)
def from_string(self, source: str, clazz: Optional[Type[T]] = None) -> T:
"""Parse the input string and return the resulting object tree."""
return self.from_bytes(source.encode(), clazz)
def from_bytes(self, source: bytes, clazz: Optional[Type[T]] = None) -> T:
"""Parse the input bytes array return the resulting object tree."""
return self.parse(io.BytesIO(source), clazz)
@abc.abstractmethod
def parse(self, source: Any, clazz: Optional[Type[T]] = None) -> T:
"""Parse the input stream or filename and return the resulting object
tree."""
| 33.914286 | 82 | 0.675653 | 164 | 1,187 | 4.865854 | 0.286585 | 0.050125 | 0.080201 | 0.090226 | 0.382206 | 0.382206 | 0.343358 | 0.343358 | 0.180451 | 0 | 0 | 0 | 0.207245 | 1,187 | 34 | 83 | 34.911765 | 0.848034 | 0.262848 | 0 | 0.1 | 0 | 0 | 0.001189 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.35 | 0 | 0.85 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
fa6f849c140e19763bebce3b6efb60ea46161022 | 923 | py | Python | delivery/serializers.py | ITedy/cloudtraining | eff1f320fa5abd1961118bc0fc99aa4f0a7c90cd | [
"MIT"
] | 8 | 2016-09-10T12:18:37.000Z | 2019-04-04T09:33:52.000Z | delivery/serializers.py | Harkirat9711/pizza-time | eff1f320fa5abd1961118bc0fc99aa4f0a7c90cd | [
"MIT"
] | 1 | 2016-10-11T15:26:32.000Z | 2016-10-11T16:34:43.000Z | delivery/serializers.py | Harkirat9711/pizza-time | eff1f320fa5abd1961118bc0fc99aa4f0a7c90cd | [
"MIT"
] | 14 | 2016-10-11T14:00:48.000Z | 2018-10-29T10:48:58.000Z | from django.contrib.auth.models import User, Group
from rest_framework import serializers
from delivery.models import Pizza, Order
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
fields = ('username', 'id', 'url')
class PizzaSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Pizza
fields = ('name', 'price', 'url')
class GetOrderSerializer(serializers.HyperlinkedModelSerializer):
pizzas = serializers.StringRelatedField(many=True)
user = serializers.SlugRelatedField(
read_only=True,
slug_field='username'
)
class Meta:
model = Order
fields = ('id', 'user', 'pizzas', 'total', 'status', 'url')
class NewOrderSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Order
fields = ('id', 'user', 'pizzas', 'total', 'status', 'url')
| 29.774194 | 67 | 0.67714 | 87 | 923 | 7.149425 | 0.448276 | 0.237942 | 0.090032 | 0.221865 | 0.38746 | 0.163987 | 0.163987 | 0.163987 | 0.163987 | 0.163987 | 0 | 0 | 0.208017 | 923 | 30 | 68 | 30.766667 | 0.850889 | 0 | 0 | 0.333333 | 0 | 0 | 0.092091 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.541667 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
d70671eccf6fa28cfaad5138ee60132e6924ff7c | 420 | py | Python | Educative/Django: Python Web Development Unleashed/django-unleashed-educative/first_app/admin.py | imrande/Django-Projects | fb59d068111448877d0c5ea26824b5b1550be680 | [
"MIT"
] | null | null | null | Educative/Django: Python Web Development Unleashed/django-unleashed-educative/first_app/admin.py | imrande/Django-Projects | fb59d068111448877d0c5ea26824b5b1550be680 | [
"MIT"
] | null | null | null | Educative/Django: Python Web Development Unleashed/django-unleashed-educative/first_app/admin.py | imrande/Django-Projects | fb59d068111448877d0c5ea26824b5b1550be680 | [
"MIT"
] | null | null | null | from django.contrib import admin
from . import models
# Register your models here.
@admin.register(models.Topic)
class TopicAdmin(admin.ModelAdmin):
list_display = ('topic_name',)
@admin.register(models.Webpage)
class WebpageAdmin(admin.ModelAdmin):
list_display = ('topic', 'name')
@admin.register(models.AccessRecord)
class AccessRecordAdmin(admin.ModelAdmin):
list_display = ('name', 'date_field') | 28 | 43 | 0.75 | 49 | 420 | 6.326531 | 0.44898 | 0.125806 | 0.183871 | 0.251613 | 0.348387 | 0.348387 | 0.348387 | 0.348387 | 0.348387 | 0 | 0 | 0 | 0.12381 | 420 | 15 | 44 | 28 | 0.842391 | 0.061905 | 0 | 0 | 0 | 0 | 0.087071 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.727273 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
d7170868cc1b9d3bc6e827230066b9b562e8f3c3 | 30 | py | Python | tests/testapp1/__init__.py | jayvdb/python-app-loader | e81c4ad62d4f25ea15ff94fdac88ff3aa776dc2c | [
"BSD-3-Clause"
] | null | null | null | tests/testapp1/__init__.py | jayvdb/python-app-loader | e81c4ad62d4f25ea15ff94fdac88ff3aa776dc2c | [
"BSD-3-Clause"
] | 5 | 2016-01-07T14:57:39.000Z | 2016-09-14T22:17:41.000Z | tests/testapp1/__init__.py | jayvdb/python-app-loader | e81c4ad62d4f25ea15ff94fdac88ff3aa776dc2c | [
"BSD-3-Clause"
] | 1 | 2020-01-15T12:28:37.000Z | 2020-01-15T12:28:37.000Z |
LEONARDO_APPS = ['testapp1']
| 10 | 28 | 0.7 | 3 | 30 | 6.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 0.133333 | 30 | 2 | 29 | 15 | 0.730769 | 0 | 0 | 0 | 0 | 0 | 0.275862 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d71d57d627a96554e6fcf57814ab56280a0a6ff9 | 987 | py | Python | mozi_cross_val/filters/overfitness_filters.py | Habush/moses-crossval | 46c5d878e1ab293cfba3973b7fb7403e8a0fb723 | [
"MIT"
] | null | null | null | mozi_cross_val/filters/overfitness_filters.py | Habush/moses-crossval | 46c5d878e1ab293cfba3973b7fb7403e8a0fb723 | [
"MIT"
] | null | null | null | mozi_cross_val/filters/overfitness_filters.py | Habush/moses-crossval | 46c5d878e1ab293cfba3973b7fb7403e8a0fb723 | [
"MIT"
] | null | null | null | __author__ = 'Abdulrahman Semrie<hsamireh@gmail.com>'
from mozi_cross_val.filters.base_filter import BaseFilter
class AccuracyFilter(BaseFilter):
def cut_off(self, models, value):
return list(filter(lambda k : k.train_score.accuracy - k.test_score.accuracy <= value, models))
class PrecisionFilter(BaseFilter):
def cut_off(self, models, value):
return list(filter(lambda k : k.train_score.precision - k.test_score.precision <= value, models))
class RecallFilter(BaseFilter):
def cut_off(self, models, value):
return list(filter(lambda k : k.train_score.recall - k.test_score.recall <= value, models))
class F1Score(BaseFilter):
def cut_off(self, models, value):
return list(filter(lambda k : k.train_score.f1_score - k.test_score.f1_score <= value, models))
class PValue(BaseFilter):
def cut_off(self, models, value):
return list(filter(lambda k : k.train_score.p_value - k.test_score.p_value <= value, models)) | 29.909091 | 105 | 0.719352 | 139 | 987 | 4.920863 | 0.280576 | 0.095029 | 0.116959 | 0.138889 | 0.497076 | 0.497076 | 0.497076 | 0.497076 | 0.497076 | 0.497076 | 0 | 0.003641 | 0.165147 | 987 | 33 | 106 | 29.909091 | 0.826456 | 0 | 0 | 0.294118 | 0 | 0 | 0.038462 | 0.026316 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0 | 0.058824 | 0.294118 | 0.941176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
d735d08199525f4735a367d8252ea22fb2e06596 | 146 | py | Python | setup.py | Lukas-Dresel/customassert | df3c3031577730c6c23391518f42db5c8764167f | [
"BSD-2-Clause"
] | null | null | null | setup.py | Lukas-Dresel/customassert | df3c3031577730c6c23391518f42db5c8764167f | [
"BSD-2-Clause"
] | null | null | null | setup.py | Lukas-Dresel/customassert | df3c3031577730c6c23391518f42db5c8764167f | [
"BSD-2-Clause"
] | null | null | null | from distutils.core import setup
setup(
name='customassert',
version='1.0.0.0',
packages=['customassert'],
install_requires=[]
)
| 16.222222 | 32 | 0.657534 | 17 | 146 | 5.588235 | 0.764706 | 0.042105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033613 | 0.184932 | 146 | 8 | 33 | 18.25 | 0.764706 | 0 | 0 | 0 | 0 | 0 | 0.213793 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 1 | 0 | true | 0 | 0.142857 | 0 | 0.142857 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d73b304376e2d14ada8f74ce4c505a48513f3ff5 | 222 | py | Python | code-exercises-etc/section_09_(functions)/ajm.func4-fileopen.20160117.py | hannahkwarren/CLaG-Sp2016 | a75862d187176d9f2f1778eb6300056364292b44 | [
"MIT"
] | null | null | null | code-exercises-etc/section_09_(functions)/ajm.func4-fileopen.20160117.py | hannahkwarren/CLaG-Sp2016 | a75862d187176d9f2f1778eb6300056364292b44 | [
"MIT"
] | null | null | null | code-exercises-etc/section_09_(functions)/ajm.func4-fileopen.20160117.py | hannahkwarren/CLaG-Sp2016 | a75862d187176d9f2f1778eb6300056364292b44 | [
"MIT"
] | null | null | null | def textfile_to_string(filename_with_path):
with open(filename_with_path, "r") as the_file:
the_text = the_file.read()
return the_text
file_contents = textfile_to_string('lessons.txt')
print file_contents
| 22.2 | 51 | 0.761261 | 34 | 222 | 4.558824 | 0.558824 | 0.129032 | 0.206452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153153 | 222 | 9 | 52 | 24.666667 | 0.824468 | 0 | 0 | 0 | 0 | 0 | 0.054054 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.166667 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d751f1606b43d888ddcab21a7edc79e306106bd4 | 106 | py | Python | qtoggleserver/mppsolar/commands/psdv.py | qtoggle/qtoggleserver-mppsolar | cc3a68f3ba9f5695946989ea5fa32364c5e28f70 | [
"Apache-2.0"
] | 1 | 2021-11-30T01:04:37.000Z | 2021-11-30T01:04:37.000Z | qtoggleserver/mppsolar/commands/psdv.py | qtoggle/qtoggleserver-mppsolar | cc3a68f3ba9f5695946989ea5fa32364c5e28f70 | [
"Apache-2.0"
] | null | null | null | qtoggleserver/mppsolar/commands/psdv.py | qtoggle/qtoggleserver-mppsolar | cc3a68f3ba9f5695946989ea5fa32364c5e28f70 | [
"Apache-2.0"
] | null | null | null |
from .base import Command
class PSDV(Command):
REQUEST_FMT = 'PSDV{battery_cut_off_voltage:04.1f}'
| 15.142857 | 55 | 0.745283 | 16 | 106 | 4.6875 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0.150943 | 106 | 6 | 56 | 17.666667 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d7557f8b8babd42a22a42b24dfe7fa9759c68799 | 270 | py | Python | Task1.py | BeenashPervaiz/Command_Line_Task | a603fbdd06717ff157ecd72881d08329413fd82c | [
"MIT"
] | null | null | null | Task1.py | BeenashPervaiz/Command_Line_Task | a603fbdd06717ff157ecd72881d08329413fd82c | [
"MIT"
] | null | null | null | Task1.py | BeenashPervaiz/Command_Line_Task | a603fbdd06717ff157ecd72881d08329413fd82c | [
"MIT"
] | null | null | null | #task1: print the \\ double backslash
print("This is \\\\ double backslash")
#task2: print the mountains
print ("this is /\\/\\/\\/\\/\\ mountain")
#task3:he is awesome(using escape sequence)
print ("he is \t awesome")
#task4: \" \n \t \'
print ("\\\" \\n \\t \\\'") | 33.75 | 46 | 0.596296 | 36 | 270 | 4.472222 | 0.527778 | 0.099379 | 0.136646 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017621 | 0.159259 | 270 | 8 | 47 | 33.75 | 0.69163 | 0.462963 | 0 | 0 | 0 | 0 | 0.567376 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
d75a7fafcf0a3326ce9e4cddd5cc898de5b24cc2 | 138 | py | Python | SpeedTest.py | MrRouhi/Speedtest-by-python | 1294ff471560408293508631a7790fa171951d64 | [
"Apache-2.0"
] | null | null | null | SpeedTest.py | MrRouhi/Speedtest-by-python | 1294ff471560408293508631a7790fa171951d64 | [
"Apache-2.0"
] | null | null | null | SpeedTest.py | MrRouhi/Speedtest-by-python | 1294ff471560408293508631a7790fa171951d64 | [
"Apache-2.0"
] | null | null | null | from speedtest import Speedtest
obj = Speedtest()
print(f'Download Speed : {obj.download()}')
print(f'Upload Speed : {obj.upload()}') | 27.6 | 44 | 0.695652 | 18 | 138 | 5.333333 | 0.5 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137681 | 138 | 5 | 45 | 27.6 | 0.806723 | 0 | 0 | 0 | 0 | 0 | 0.459259 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
d7672f723c53a7f8dbcf32dbe0dcb1b10b06c4c0 | 1,211 | py | Python | dataworkspace/dataworkspace/apps/datasets/migrations/0050_auto_20200805_1226.py | uktrade/jupyterhub-data-auth-admin | 91544f376209a201531f4dbfb8faad1b8ada18c9 | [
"MIT"
] | 1 | 2019-06-10T08:22:56.000Z | 2019-06-10T08:22:56.000Z | dataworkspace/dataworkspace/apps/datasets/migrations/0050_auto_20200805_1226.py | uktrade/jupyterhub-data-auth-admin | 91544f376209a201531f4dbfb8faad1b8ada18c9 | [
"MIT"
] | 2 | 2019-05-17T13:10:42.000Z | 2019-06-17T10:48:46.000Z | dataworkspace/dataworkspace/apps/datasets/migrations/0050_auto_20200805_1226.py | uktrade/jupyterhub-data-auth-admin | 91544f376209a201531f4dbfb8faad1b8ada18c9 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.8 on 2020-08-05 12:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("datasets", "0049_auto_20200610_1007"),
]
operations = [
migrations.AlterField(
model_name="sourcetable",
name="frequency",
field=models.IntegerField(
choices=[
(1, "Daily"),
(2, "Weekly"),
(3, "Monthly"),
(4, "Quarterly"),
(6, "6-monthly"),
(5, "Annually"),
(7, "Ad hoc"),
],
default=1,
),
),
migrations.AlterField(
model_name="sourceview",
name="frequency",
field=models.IntegerField(
choices=[
(1, "Daily"),
(2, "Weekly"),
(3, "Monthly"),
(4, "Quarterly"),
(6, "6-monthly"),
(5, "Annually"),
(7, "Ad hoc"),
],
default=1,
),
),
]
| 26.326087 | 48 | 0.369116 | 87 | 1,211 | 5.08046 | 0.563218 | 0.090498 | 0.113122 | 0.131222 | 0.479638 | 0.479638 | 0.479638 | 0.479638 | 0.479638 | 0.479638 | 0 | 0.080992 | 0.500413 | 1,211 | 45 | 49 | 26.911111 | 0.649587 | 0.037159 | 0 | 0.769231 | 1 | 0 | 0.146048 | 0.019759 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.025641 | 0 | 0.102564 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d76c1a512e5e56596363898040108c19c779c418 | 745 | py | Python | test/1.py | sunsyw/utils | 675fcdcfa47b37ec938631f1cc5f8c99b0a92fb3 | [
"Apache-2.0"
] | null | null | null | test/1.py | sunsyw/utils | 675fcdcfa47b37ec938631f1cc5f8c99b0a92fb3 | [
"Apache-2.0"
] | null | null | null | test/1.py | sunsyw/utils | 675fcdcfa47b37ec938631f1cc5f8c99b0a92fb3 | [
"Apache-2.0"
] | null | null | null | import sympy
x = sympy.Symbol('x')
n = 0
# print(sympy.solve(((((((x-1)/5*4-1)*5/4-1)*5/4-1)*5/4-1)*5/4-4),x))
while True:
a = sympy.solve(((((((x - 1) / 5 * 4 - 1) / 5 * 4 - 1) / 5 * 4 - 1) / 5 * 4 - 1) / 5 * 4 - n), x)
# a = sympy.solve((x-1)/5*4-4)
if a[0].is_integer:
break
n += 1
print(a)
print('n = %s' % n)
print(a)
# a = (((((3121 - 1) / 5 * 4 - 1) / 5 * 4 - 1) / 5 * 4 - 1) / 5 * 4 - 1) / 5 * 4
# print(a)
#
# b = (((((3121 - 1) / 5 * 4 - 1) / 5 * 4) - 1) / 5 * 4 -1) / 5 * 4 - 1
# print(b)
# a = sympy.solve((x-1)/5*4-8)
# print(a)
# b = a[0]
# print(b)
# # b = sympy.Symbol('b')
# print(a.is_integer)
# print(type(b)) #<class 'sympy.core.numbers.Integer'>
# # <class 'sympy.core.numbers.Rational'>
| 24.032258 | 101 | 0.444295 | 148 | 745 | 2.222973 | 0.182432 | 0.12766 | 0.191489 | 0.194529 | 0.361702 | 0.361702 | 0.361702 | 0.267477 | 0.267477 | 0.267477 | 0 | 0.143898 | 0.263087 | 745 | 30 | 102 | 24.833333 | 0.455373 | 0.608054 | 0 | 0.181818 | 0 | 0 | 0.025641 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0.272727 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d77c370b109f64eff8d2b637c46094f70aa8b85e | 7,355 | py | Python | graphnn/transformer.py | nextBillyonair/GraphNN | 5d0601b8dc8dc61dcdb6af51eb17b536995a178c | [
"MIT"
] | null | null | null | graphnn/transformer.py | nextBillyonair/GraphNN | 5d0601b8dc8dc61dcdb6af51eb17b536995a178c | [
"MIT"
] | null | null | null | graphnn/transformer.py | nextBillyonair/GraphNN | 5d0601b8dc8dc61dcdb6af51eb17b536995a178c | [
"MIT"
] | null | null | null | import torch
from torch.nn import Module, Linear, Dropout, LayerNorm
import torch.nn.functional as F
from .multihead_attention import MultiheadAttention
from .residual import AdditiveResidual, GeneralResidual, DotResidual
class Transformer(Module):
r"""Transformer is made up of self-attn and feedforward network. Encoder.
Args:
d_model: the number of expected features in the input (required).
nhead: the number of heads in the multiheadattention models (required).
dim_feedforward: the dimension of the feedforward network model (default=2048).
dropout: the dropout value (default=0.1).
activation: the activation function of intermediate layer, relu or gelu (default=relu).
"""
def __init__(self, d_model, nhead, dim_feedforward=2048, dropout=0.1,
activation=F.relu, bias=True, learned_residual=False, residual=AdditiveResidual):
super().__init__()
self.self_attn = MultiheadAttention(d_model, nhead, bias=bias)
# Implementation of Feedforward model
self.linear1 = Linear(d_model, dim_feedforward, bias=bias)
self.dropout = Dropout(dropout)
self.linear2 = Linear(dim_feedforward, d_model, bias=bias)
self.norm1 = LayerNorm(d_model)
self.norm2 = LayerNorm(d_model)
self.dropout1 = Dropout(dropout)
self.dropout2 = Dropout(dropout)
self.activation = getattr(nn, activation)() if isinstance(activation, str) else activation
self.learned_residual = learned_residual
if learned_residual:
self.residual = residual(d_model, dim_feedforward, bias=bias)
# self.residual = Residual(d_model // nhead, dim_feedforward)
self.d_model = d_model
self.nhead = nhead
def forward(self, src, mask=None, return_weights=False):
r"""Pass the input through the encoder layer.
Args:
src: the sequence to the encoder layer (required).
(Batch Size, *, Seq Len, Embedding Size)
mask: what to attend to (optional).
(Batch Size, *, Seq Len, Seq Len) -> Binary Tensor, 1 to attend, 0 to exclude
return_weights: True -> return MHA weights, else only attended src
Out:
src: Attented src
(Batch Size, *, Seq Len, Embedding Size)
attn_weights: attentions weights given to each edge
(Batch Size, *, Num Heads, Seq Len, Seq Len)
"""
if mask is None:
mask = torch.ones(src.size()[:-1] + src.size()[-2:-1])
src2, attn_weights = self.self_attn(src, src, src, mask=mask)
# output.shape == (batch_size, vertices, d_model)
# feed forward
if self.learned_residual:
src, residual_weights = self.residual(src, self.dropout1(src2))
else:
src = src + self.dropout1(src2)
src = self.norm1(src)
src2 = self.linear2(self.dropout(self.activation(self.linear1(src))))
src = src + self.dropout2(src2)
src = self.norm2(src)
if return_weights:
if self.learned_residual:
return src, {'mha':attn_weights, 'res':residual_weights}
return src, {'mha':attn_weights}
return src
class TransformerDecoder(Module):
r"""Transformer is made up of self-attn and feedforward network. Decoder.
Args:
d_model: the number of expected features in the input (required).
nhead: the number of heads in the multiheadattention models (required).
dim_feedforward: the dimension of the feedforward network model (default=2048).
dropout: the dropout value (default=0.1).
activation: the activation function of intermediate layer, relu or gelu (default=relu).
"""
def __init__(self, d_model, nhead, dim_feedforward=2048, dropout=0.1,
activation=F.relu, bias=True, learned_residual=False, residual=AdditiveResidual):
super().__init__()
self.self_attn = MultiheadAttention(d_model, nhead, bias=bias)
self.multihead_attn = MultiheadAttention(d_model, nhead, bias=bias)
# Implementation of Feedforward model
self.linear1 = Linear(d_model, dim_feedforward, bias=bias)
self.dropout = Dropout(dropout)
self.linear2 = Linear(dim_feedforward, d_model, bias=bias)
self.norm1 = LayerNorm(d_model)
self.norm2 = LayerNorm(d_model)
self.norm3 = LayerNorm(d_model)
self.dropout1 = Dropout(dropout)
self.dropout2 = Dropout(dropout)
self.dropout3 = Dropout(dropout)
self.activation = getattr(nn, activation)() if isinstance(activation, str) else activation
self.learned_residual = learned_residual
if learned_residual:
self.residual1 = residual(d_model, dim_feedforward, bias=bias)
self.residual2 = residual(d_model, dim_feedforward, bias=bias)
# self.residual = Residual(d_model // nhead, dim_feedforward)
self.d_model = d_model
self.nhead = nhead
def forward(self, tgt, memory, tgt_mask=None, memory_mask=None, return_weights=False):
r"""Pass the input through the encoder layer.
Args:
tgt: the sequence to decoder layer (required).
(Batch Size, *, T Seq Len, Embedding Size)
memory: the sequence to the decoder layer (required).
(Batch Size, *, S Seq Len, Embedding Size)
tgt_mask: what to attend to in target sequence (optional).
(Batch Size, *, T Seq Len, T Seq Len) -> Binary Tensor, 1 to attend, 0 to exclude
memory_mask: what to attend to with the memory (optional).
(Batch Size, *, T Seq Len, S Seq Len) -> Binary Tensor, 1 to attend, 0 to exclude
return_weights: True -> return MHA weights, else only attended tgt
Out:
tgt: Attented tgt
(Batch Size, *, T Seq Len, Embedding Size)
attn_weights: attentions weights given to each edge
(Batch Size, *, Num Heads, Seq Len, Seq Len)
"""
if mask is None:
mask = torch.ones(src.size()[:-1] + src.size()[-2:-1])
tgt2, attn_weights_1 = self.self_attn(tgt, tgt, tgt, mask=tgt_mask)
# output.shape == (batch_size, vertices, d_model)
# feed forward
if self.learned_residual:
tgt, residual_weights_1 = self.residual1(tgt, self.dropout1(tgt2))
else:
tgt = tgt + self.dropout1(tgt2)
tgt = self.norm1(tgt)
tgt2, attn_weights_2 = self.multihead_attn(tgt, memory, memory, mask=memory_mask)
if self.learned_residual:
tgt, residual_weights_2 = self.residual2(tgt, self.dropout2(tgt2))
else:
tgt = tgt + self.dropout2(tgt2)
tgt = self.norm2(tgt)
tgt2 = self.linear2(self.dropout(self.activation(self.linear1(tgt))))
tgt = tgt + self.dropout3(tgt2)
tgt = self.norm3(tgt)
if return_weights:
if self.learned_residual:
return tgt, {'mha_1':attn_weights_1, 'mha_2':attn_weights_2,
'res_1':residual_weights_1, 'res_2':residual_weights_2}
return tgt, {'mha_1':attn_weights_1, 'mha_2':attn_weights_2}
return tgt
| 41.789773 | 98 | 0.632767 | 916 | 7,355 | 4.946507 | 0.14083 | 0.035754 | 0.021187 | 0.02207 | 0.77356 | 0.732289 | 0.713529 | 0.692342 | 0.645553 | 0.645553 | 0 | 0.018695 | 0.27274 | 7,355 | 175 | 99 | 42.028571 | 0.828379 | 0.34847 | 0 | 0.511111 | 0 | 0 | 0.008705 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0 | 0.055556 | 0 | 0.188889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d780467fdbf6ccba3e65a5b06058f0625f5a8bb5 | 1,741 | py | Python | pyiArduinoI2Cmatrix/examples/5PrintChar.py | tremaru/pyiArduinoI2Cmatrix | 76cbe92c725d04ebf88bd0a46e1170b9bde55207 | [
"MIT"
] | null | null | null | pyiArduinoI2Cmatrix/examples/5PrintChar.py | tremaru/pyiArduinoI2Cmatrix | 76cbe92c725d04ebf88bd0a46e1170b9bde55207 | [
"MIT"
] | null | null | null | pyiArduinoI2Cmatrix/examples/5PrintChar.py | tremaru/pyiArduinoI2Cmatrix | 76cbe92c725d04ebf88bd0a46e1170b9bde55207 | [
"MIT"
] | null | null | null | # Данный пример выводит символы.
#
from pyiArduinoI2Cmatrix import * # Подключаем библиотеку (модуль python) для работы с LED матрицей 8x8.
from time import sleep # Импортируем функцию ожидания
disp = pyiArduinoI2Cmatrix(0x09) # Объявляем объект disp для работы
# с LED матрицей 8x8, указывая её адрес на шине I2C.
#
try: # Входим в блок исключений
while True: # Входим в бесконечный цикл
disp.print('i') # Выводим символ
sleep(.300) #
disp.print('A') # Выводим символ
sleep(.300) #
disp.print('r') # Выводим символ
sleep(.300) #
disp.print('d') # Выводим символ
sleep(.300) #
disp.print('u') # Выводим символ
sleep(.300) #
disp.print('i') # Выводим символ
sleep(.300) #
disp.print('n') # Выводим символ
sleep(.300) #
disp.print('o') # Выводим символ
sleep(.300) #
disp.print(' ') # Выводим символ
sleep(.500) #
except: # Если поднято исключение (например,
# выполнение сценария прервано с клавиатуры)
disp.reset() # Сбрасываем все параметры матрицы
| 56.16129 | 110 | 0.398047 | 131 | 1,741 | 5.290076 | 0.51145 | 0.116883 | 0.233766 | 0.242424 | 0.431457 | 0.431457 | 0.11544 | 0.11544 | 0.11544 | 0 | 0 | 0.045455 | 0.532453 | 1,741 | 30 | 111 | 58.033333 | 0.805897 | 0.298679 | 0 | 0.4 | 0 | 0 | 0.007563 | 0 | 0 | 0 | 0.003361 | 0 | 0 | 1 | 0 | false | 0 | 0.08 | 0 | 0.08 | 0.36 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d791365d9143ac7d5be5687c74bbd44af71cc7a3 | 189 | py | Python | tools/__init__.py | depp/chaostomb | 6ccbfe91b9675eb6dc4cf264bc34bddd593a688e | [
"BSD-2-Clause"
] | 4 | 2015-04-26T00:08:40.000Z | 2018-12-20T01:01:22.000Z | tools/__init__.py | depp/chaostomb | 6ccbfe91b9675eb6dc4cf264bc34bddd593a688e | [
"BSD-2-Clause"
] | 1 | 2018-12-19T18:09:27.000Z | 2018-12-20T00:51:01.000Z | tools/__init__.py | depp/chaostomb | 6ccbfe91b9675eb6dc4cf264bc34bddd593a688e | [
"BSD-2-Clause"
] | null | null | null | # Copyright 2015 Dietrich Epp.
#
# This file is part of Chaos Tomb. The Chaos Tomb source code is
# distributed under the terms of the 2-clause BSD license.
# See LICENSE.txt for details.
| 31.5 | 65 | 0.751323 | 32 | 189 | 4.4375 | 0.78125 | 0.126761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03268 | 0.190476 | 189 | 5 | 66 | 37.8 | 0.895425 | 0.941799 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d7984a92d9cb470ce977fb2eb7994c94badc31db | 205 | py | Python | MyRickyDL/rickydl.py | luckyandricky/MyRickyDL | f71a6c113946636b6c13c784af55d1a9f02be916 | [
"MIT"
] | null | null | null | MyRickyDL/rickydl.py | luckyandricky/MyRickyDL | f71a6c113946636b6c13c784af55d1a9f02be916 | [
"MIT"
] | null | null | null | MyRickyDL/rickydl.py | luckyandricky/MyRickyDL | f71a6c113946636b6c13c784af55d1a9f02be916 | [
"MIT"
] | null | null | null |
from . import kernel
from . import operate
from . import optimizer
default_cal = kernel.def_cal
get_node_from_graph = kernel.get_node_from_graph
name_scope = kernel.Name_Scope
Variable = kernel.Variable
| 20.5 | 48 | 0.819512 | 31 | 205 | 5.096774 | 0.451613 | 0.189873 | 0.139241 | 0.202532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126829 | 205 | 9 | 49 | 22.777778 | 0.882682 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.428571 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
ad112af2e0a9aa106837fb39b9e5891908c10c0b | 900 | py | Python | unittest/python/tests.py | matthieuvigne/pinocchio | 01f211eceda3ac2e5edc8cf101690afb6f3184d3 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2021-06-22T15:42:45.000Z | 2021-06-22T15:42:45.000Z | unittest/python/tests.py | matthieuvigne/pinocchio | 01f211eceda3ac2e5edc8cf101690afb6f3184d3 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | unittest/python/tests.py | matthieuvigne/pinocchio | 01f211eceda3ac2e5edc8cf101690afb6f3184d3 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2021-03-21T09:14:26.000Z | 2021-03-21T09:14:26.000Z | #!/usr/bin/env python
from __future__ import print_function
import unittest, sys
from bindings import TestSE3 # TODO: probably remove and move/split its contents
from bindings_SE3 import TestSE3Bindings
from bindings_force import TestForceBindings
from bindings_motion import TestMotionBindings
from bindings_inertia import TestInertiaBindings
from bindings_frame import TestFrameBindings
from bindings_geometry_object import TestGeometryObjectBindings
from bindings_geometry_object_urdf import TestGeometryObjectUrdfBindings
from bindings_dynamics import TestDynamicsBindings
from bindings_com import TestComBindings
from bindings_joint_composite import TestJointCompositeBindings
from explog import TestExpLog
from model import TestModel
from rpy import TestRPY
from utils import TestUtils
if __name__ == '__main__':
print("Python version")
print(sys.version_info)
unittest.main()
| 33.333333 | 81 | 0.86 | 106 | 900 | 7.037736 | 0.528302 | 0.176944 | 0.053619 | 0.069705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003759 | 0.113333 | 900 | 26 | 82 | 34.615385 | 0.931078 | 0.077778 | 0 | 0 | 0 | 0 | 0.02657 | 0 | 0 | 0 | 0 | 0.038462 | 0 | 1 | 0 | true | 0 | 0.809524 | 0 | 0.809524 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
ad15210a4be064d095243e6d0032830447c1d1e9 | 1,428 | py | Python | PyFlow/Packages/PyFlowPyrr/Pins/Matrix44Pin.py | IlgarLunin/PyFlowPyrr | 171c376664ad269435e74da9b5da1d06210ad5fe | [
"MIT"
] | null | null | null | PyFlow/Packages/PyFlowPyrr/Pins/Matrix44Pin.py | IlgarLunin/PyFlowPyrr | 171c376664ad269435e74da9b5da1d06210ad5fe | [
"MIT"
] | null | null | null | PyFlow/Packages/PyFlowPyrr/Pins/Matrix44Pin.py | IlgarLunin/PyFlowPyrr | 171c376664ad269435e74da9b5da1d06210ad5fe | [
"MIT"
] | null | null | null | from pyrr import Matrix44
import json
from PyFlow.Core import PinBase
from PyFlow.Core.Common import *
class M44Encoder(json.JSONEncoder):
def default(self, m44):
if isinstance(m44, Matrix44):
return {Matrix44.__name__: m44.tolist()}
json.JSONEncoder.default(self, m44)
class M44Decoder(json.JSONDecoder):
def __init__(self, *args, **kwargs):
super(M44Decoder, self).__init__(object_hook=self.object_hook, *args, **kwargs)
def object_hook(self, m44Dict):
return Matrix44(m44Dict[Matrix44.__name__])
class Matrix44Pin(PinBase):
"""doc string for Matrix44Pin"""
def __init__(self, name, parent, direction, **kwargs):
super(Matrix44Pin, self).__init__(name, parent, direction, **kwargs)
self.setDefaultValue(Matrix44())
@staticmethod
def IsValuePin():
return True
@staticmethod
def jsonEncoderClass():
return M44Encoder
@staticmethod
def jsonDecoderClass():
return M44Decoder
@staticmethod
def color():
return (150, 0, 20, 255)
@staticmethod
def supportedDataTypes():
return ('Matrix44Pin',)
@staticmethod
def pinDataTypeHint():
return 'Matrix44Pin', Matrix44()
@staticmethod
def internalDataStructure():
return Matrix44
@staticmethod
def processData(data):
return Matrix44Pin.internalDataStructure()(data)
| 23.8 | 87 | 0.666667 | 140 | 1,428 | 6.607143 | 0.371429 | 0.12973 | 0.074595 | 0.054054 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053636 | 0.229692 | 1,428 | 59 | 88 | 24.20339 | 0.787273 | 0.018207 | 0 | 0.190476 | 0 | 0 | 0.015759 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.095238 | 0.214286 | 0.690476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
ad36cbf6c25ff6dd3d08431ace192dfd63e72de4 | 1,229 | py | Python | test_game_of_greed.py | rgvh/game-of-greed | f48c2f8707c95a7d38e70f358566670a91fa176d | [
"MIT"
] | null | null | null | test_game_of_greed.py | rgvh/game-of-greed | f48c2f8707c95a7d38e70f358566670a91fa176d | [
"MIT"
] | null | null | null | test_game_of_greed.py | rgvh/game-of-greed | f48c2f8707c95a7d38e70f358566670a91fa176d | [
"MIT"
] | null | null | null | from game_of_greed import
# test_zilch - non scoring roll should return 0
def test_zilch():
expected = 0
actual = round_score(0)
assert expected == actual
# test_ones - rolls with various number of 1s should return correct score
def test_ones():
expected = 100
# test_twos - rolls with various number of 2s should return correct score
def test_two():
expected = 2
actual = (2)
assert expected == actual
# test_threes - rolls with various number of 3s should return correct score
# test_fours - rolls with various number of 4s should return correct score
# test_fives - rolls with various number of 5s should return correct score
# test_sixes - rolls with various number of 6s should return correct score
# test_straight - 1,2,3,4,5,6 should return correct score
# test_three_pairs - 3 pairs should return correct score
# test_leftover_ones - 1s not used in set of 3 (or greater) should return correct score
# test_leftover_fives - 5s not used in set of 3 (or greater) should return correct score
# test_two_trios = 2 sets of 3 should return correct score
# test_roll -doing a roll with x number of dice should return sequence of x length random integers between 1 and 6 inclusive
| 29.261905 | 124 | 0.74939 | 199 | 1,229 | 4.512563 | 0.336683 | 0.173719 | 0.232739 | 0.293987 | 0.581292 | 0.233853 | 0.115813 | 0.115813 | 0.115813 | 0.115813 | 0 | 0.029652 | 0.204231 | 1,229 | 41 | 125 | 29.97561 | 0.888548 | 0.769731 | 0 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 0 | null | null | 0 | 0.090909 | null | null | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ad5b18fb9842a570df78c27cef00bb2e88311522 | 138 | py | Python | dosed/models/__init__.py | haberdashPI/dosed | 86348441ecec18bf12887a40d2fd873538d376a2 | [
"MIT"
] | 40 | 2019-04-12T16:18:40.000Z | 2022-03-02T07:03:58.000Z | dosed/models/__init__.py | haberdashPI/dosed | 86348441ecec18bf12887a40d2fd873538d376a2 | [
"MIT"
] | 5 | 2019-10-28T14:19:20.000Z | 2021-08-19T07:43:41.000Z | dosed/models/__init__.py | haberdashPI/dosed | 86348441ecec18bf12887a40d2fd873538d376a2 | [
"MIT"
] | 15 | 2019-04-13T22:14:42.000Z | 2022-02-27T14:57:38.000Z | from .dosed1 import DOSED1
from .dosed2 import DOSED2
from .dosed3 import DOSED3
__all__ = [
"DOSED1",
"DOSED2",
"DOSED3",
]
| 13.8 | 26 | 0.65942 | 16 | 138 | 5.4375 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084906 | 0.231884 | 138 | 9 | 27 | 15.333333 | 0.735849 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.375 | 0 | 0.375 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
ad684b1ca1bf58268f74e9345662e066e3143cb6 | 628 | py | Python | app/site/view.py | DaveLanday/Flask_Bulma_boilerplate | 40a493dc7765f2e6a37c689e80cebc7f0a0d0394 | [
"MIT"
] | null | null | null | app/site/view.py | DaveLanday/Flask_Bulma_boilerplate | 40a493dc7765f2e6a37c689e80cebc7f0a0d0394 | [
"MIT"
] | null | null | null | app/site/view.py | DaveLanday/Flask_Bulma_boilerplate | 40a493dc7765f2e6a37c689e80cebc7f0a0d0394 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*-coding: utf-8 -*-
#views.py
#Dave Landay
#LAST UPDATED: 01-09-2020
from flask import Blueprint, url_for, render_template
mod = Blueprint('site', __name__, template_folder='templates')
# Routes to the homepage:
@mod.route('/')
def index():
return render_template('index.html')
# Routes to the gallery page:
@mod.route('/gallery')
def gallery():
return render_template('gallery.html')
# Routes to the shop page
@mod.route('/shop')
def shop():
return render_template('shop.html')
# Routes to the about page:
@mod.route('/about')
def about():
return render_template('about.html')
| 19.625 | 62 | 0.69586 | 89 | 628 | 4.786517 | 0.47191 | 0.164319 | 0.103286 | 0.105634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01676 | 0.144904 | 628 | 31 | 63 | 20.258065 | 0.776536 | 0.296178 | 0 | 0 | 0 | 0 | 0.171296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.071429 | 0.285714 | 0.642857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
ad72fcb206224b55d0c247f4f4dfb4b0dc81aaa0 | 315 | py | Python | src/healthvaultlib/methods/method.py | rajeevs1992/pyhealthvault | 2b6fa7c1687300bcc2e501368883fbb13dc80495 | [
"MIT"
] | 1 | 2015-12-19T09:09:15.000Z | 2015-12-19T09:09:15.000Z | src/healthvaultlib/methods/method.py | rajeevs1992/pyhealthvault | 2b6fa7c1687300bcc2e501368883fbb13dc80495 | [
"MIT"
] | 6 | 2015-12-19T07:53:44.000Z | 2021-12-13T19:35:10.000Z | src/healthvaultlib/methods/method.py | rajeevs1992/pyhealthvault | 2b6fa7c1687300bcc2e501368883fbb13dc80495 | [
"MIT"
] | 2 | 2018-02-20T08:34:50.000Z | 2018-03-28T14:29:52.000Z | from healthvaultlib.helpers.requestmanager import RequestManager
class Method:
def __init__(self, request, response):
self.request = request
self.response = response
def execute(self, connection):
requestmgr = RequestManager(self, connection)
requestmgr.makerequest()
| 26.25 | 64 | 0.701587 | 29 | 315 | 7.482759 | 0.551724 | 0.101382 | 0.221198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.225397 | 315 | 11 | 65 | 28.636364 | 0.889344 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ad841cec97cdc0e8350d96964cb9ae090d540faf | 412 | py | Python | gunicorn/metrics/worker_stats.py | smpio/gunicorn | c2f171a985cc0980532683eb108fabc5410da439 | [
"MIT"
] | null | null | null | gunicorn/metrics/worker_stats.py | smpio/gunicorn | c2f171a985cc0980532683eb108fabc5410da439 | [
"MIT"
] | null | null | null | gunicorn/metrics/worker_stats.py | smpio/gunicorn | c2f171a985cc0980532683eb108fabc5410da439 | [
"MIT"
] | 1 | 2021-04-01T12:38:40.000Z | 2021-04-01T12:38:40.000Z | import time
class WorkerStats(object):
def __init__(self):
self.idle_time_sum = 0
self.request_started_at = time.time()
self.request_ended_at = time.time()
def start_request(self):
self.request_started_at = time.time()
self.idle_time_sum += self.request_started_at - self.request_ended_at
def end_request(self):
self.request_ended_at = time.time()
| 25.75 | 77 | 0.674757 | 57 | 412 | 4.491228 | 0.298246 | 0.257813 | 0.15625 | 0.234375 | 0.4375 | 0.4375 | 0.25 | 0 | 0 | 0 | 0 | 0.003145 | 0.228155 | 412 | 15 | 78 | 27.466667 | 0.801887 | 0 | 0 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.090909 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ad9bdc9c122e0de10b179d0cd99f26d908ff08e1 | 35 | py | Python | py_social/__init__.py | movermeyer/py-social | 3dc351c7b70c9d27593ef9a3dbe5cb5f07d1add6 | [
"Apache-2.0",
"MIT"
] | null | null | null | py_social/__init__.py | movermeyer/py-social | 3dc351c7b70c9d27593ef9a3dbe5cb5f07d1add6 | [
"Apache-2.0",
"MIT"
] | null | null | null | py_social/__init__.py | movermeyer/py-social | 3dc351c7b70c9d27593ef9a3dbe5cb5f07d1add6 | [
"Apache-2.0",
"MIT"
] | 1 | 2018-03-05T01:08:11.000Z | 2018-03-05T01:08:11.000Z | # coding: utf-8
VERSION = '0.1.9'
| 8.75 | 17 | 0.571429 | 7 | 35 | 2.857143 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 0.2 | 35 | 3 | 18 | 11.666667 | 0.571429 | 0.371429 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a8dc59a205adadba3d272efd7d17d2e5130f4e99 | 317 | py | Python | yahtzee/__main__.py | pmacking/tutorial-yahtzee-app | 0be148665892dd2cb4d0e98f2afce9535bc80fce | [
"MIT"
] | null | null | null | yahtzee/__main__.py | pmacking/tutorial-yahtzee-app | 0be148665892dd2cb4d0e98f2afce9535bc80fce | [
"MIT"
] | 2 | 2021-06-08T21:53:09.000Z | 2021-09-08T02:14:00.000Z | yahtzee/__main__.py | pmacking/tutorial-yahtzee-app | 0be148665892dd2cb4d0e98f2afce9535bc80fce | [
"MIT"
] | null | null | null | """
Main module of the server file.
"""
from yahtzee import app
from yahtzee.users.routes import users
from yahtzee.main.routes import main
from yahtzee.errors.handlers import errors
app.register_blueprint(users)
app.register_blueprint(main)
app.register_blueprint(errors)
if __name__ == "__main__":
app.run()
| 19.8125 | 42 | 0.782334 | 45 | 317 | 5.266667 | 0.422222 | 0.185654 | 0.253165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123028 | 317 | 15 | 43 | 21.133333 | 0.852518 | 0.097792 | 0 | 0 | 0 | 0 | 0.028777 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.444444 | 0 | 0.444444 | 0.333333 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
a8e883d5cbf34d8f2a5c6a926852e781096330cf | 1,332 | py | Python | stubs.min/Autodesk/Revit/DB/Analysis_parts/gbXMLConditionType.py | denfromufa/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | 1 | 2017-07-07T11:15:45.000Z | 2017-07-07T11:15:45.000Z | stubs.min/Autodesk/Revit/DB/Analysis_parts/gbXMLConditionType.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | stubs.min/Autodesk/Revit/DB/Analysis_parts/gbXMLConditionType.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | class gbXMLConditionType(Enum,IComparable,IFormattable,IConvertible):
"""
This enumeration corresponds to the conditionType attribute in gbXML.
The enumerated attribute identifies the type of heating,cooling,
or ventilation the space has.
enum gbXMLConditionType,values: Cooled (1),Heated (0),HeatedAndCooled (2),NaturallyVentedOnly (5),NoConditionType (-1),NoOfConditionTypes (6),Unconditioned (3),Vented (4)
"""
def __eq__(self,*args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self,*args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self,*args):
pass
def __gt__(self,*args):
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self,*args):
pass
def __lt__(self,*args):
pass
def __ne__(self,*args):
pass
def __reduce_ex__(self,*args):
pass
def __str__(self,*args):
pass
Cooled=None
Heated=None
HeatedAndCooled=None
NaturallyVentedOnly=None
NoConditionType=None
NoOfConditionTypes=None
Unconditioned=None
value__=None
Vented=None
| 31.714286 | 215 | 0.701201 | 164 | 1,332 | 5.115854 | 0.414634 | 0.095352 | 0.100119 | 0.107271 | 0.153754 | 0.153754 | 0.153754 | 0.134684 | 0.134684 | 0.134684 | 0 | 0.007181 | 0.163664 | 1,332 | 41 | 216 | 32.487805 | 0.745961 | 0.506006 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.333333 | 0 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
a8eb0e88297fb92354bc2a44658af92dfb20f29a | 1,315 | py | Python | test/jpypetest/test_repr.py | baztian/jpype | 034d44e6c719995c25e9cd61348ebc1860030a9b | [
"Apache-2.0"
] | null | null | null | test/jpypetest/test_repr.py | baztian/jpype | 034d44e6c719995c25e9cd61348ebc1860030a9b | [
"Apache-2.0"
] | null | null | null | test/jpypetest/test_repr.py | baztian/jpype | 034d44e6c719995c25e9cd61348ebc1860030a9b | [
"Apache-2.0"
] | null | null | null | import jpype
from jpype.types import *
from jpype import JPackage, java
import common
class ReprTestCase(common.JPypeTestCase):
def setUp(self):
common.JPypeTestCase.setUp(self)
def testClass(self):
cls = JClass("java.lang.String")
self.assertIsInstance(str(cls), str)
self.assertIsInstance(repr(cls), str)
def testMethod(self):
JS = JClass("java.lang.String")
method = JS.substring
self.assertIsInstance(str(method), str)
self.assertIsInstance(repr(method), str)
def testField(self):
JS = JClass("java.lang.String")
field = JS.__dict__['CASE_INSENSITIVE_ORDER']
self.assertIsInstance(str(JS.substring), str)
self.assertIsInstance(repr(JS.substring), str)
def testMonitor(self):
JI = JClass("java.lang.Integer")
with jpype.synchronized(JI) as monitor:
self.assertIsInstance(str(monitor), str)
self.assertIsInstance(repr(monitor), str)
def testArray(self):
array = JArray(JInt)([1, 2, 3])
self.assertIsInstance(str(array), str)
self.assertIsInstance(repr(array), str)
def testObject(self):
obj = JObject("abc", JObject)
self.assertIsInstance(str(obj), str)
self.assertIsInstance(repr(obj), str)
| 29.886364 | 54 | 0.644867 | 149 | 1,315 | 5.651007 | 0.328859 | 0.285036 | 0.163895 | 0.192399 | 0.061758 | 0.061758 | 0 | 0 | 0 | 0 | 0 | 0.002973 | 0.2327 | 1,315 | 43 | 55 | 30.581395 | 0.831516 | 0 | 0 | 0.058824 | 0 | 0 | 0.068441 | 0.01673 | 0 | 0 | 0 | 0 | 0.352941 | 1 | 0.205882 | false | 0 | 0.117647 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d1312543db0469bd05c667b7e1fa15716ae9e727 | 248 | py | Python | Python POO/Cursopythonyt/drunk.py | lucasjlgc/Python-POO | 56c98e7abb47a0268396f1981e58a0a2441db4fe | [
"MIT"
] | null | null | null | Python POO/Cursopythonyt/drunk.py | lucasjlgc/Python-POO | 56c98e7abb47a0268396f1981e58a0a2441db4fe | [
"MIT"
] | null | null | null | Python POO/Cursopythonyt/drunk.py | lucasjlgc/Python-POO | 56c98e7abb47a0268396f1981e58a0a2441db4fe | [
"MIT"
] | null | null | null | from bebado import Bebado
p1=Bebado('Carlos',23)
p1.beber('Cerveja')
p1.parar_beber('cerveja')
p1.parar_beber('cerveja')
p1.beber('Whisky')
p1.brigar('Chutes')
p1.parar_beber('Whisky')
p1.brigar('Chutes')
#print(f'{p1.nome} tem {p1.idade} anos ') | 20.666667 | 41 | 0.717742 | 40 | 248 | 4.375 | 0.45 | 0.205714 | 0.24 | 0.217143 | 0.582857 | 0.297143 | 0.297143 | 0 | 0 | 0 | 0 | 0.052174 | 0.072581 | 248 | 12 | 41 | 20.666667 | 0.708696 | 0.16129 | 0 | 0.444444 | 0 | 0 | 0.245192 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d1343ea8c85d1fd2695764e2b217ca9135fbc32a | 192 | py | Python | PMMH/apps/game/battlefield/urls.py | metinberkkaratas/ProjectMagic-MightofHeroes | 578697e637aba0f18b4f83762bf1c87fb20db2ee | [
"MIT"
] | null | null | null | PMMH/apps/game/battlefield/urls.py | metinberkkaratas/ProjectMagic-MightofHeroes | 578697e637aba0f18b4f83762bf1c87fb20db2ee | [
"MIT"
] | 4 | 2021-03-19T02:37:45.000Z | 2022-02-10T11:18:04.000Z | PMMH/apps/game/battlefield/urls.py | metinberkkaratas/ProjectMagic-MightofHeroes | 578697e637aba0f18b4f83762bf1c87fb20db2ee | [
"MIT"
] | 1 | 2019-10-21T20:32:20.000Z | 2019-10-21T20:32:20.000Z | from django.urls import path
from . import views
urlpatterns = [
path('ground', views.battle_ground, name='Ground Battle'),
path('naval', views.battle_naval, name='Naval Battle'),
]
| 21.333333 | 62 | 0.703125 | 25 | 192 | 5.32 | 0.44 | 0.165414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15625 | 192 | 8 | 63 | 24 | 0.820988 | 0 | 0 | 0 | 0 | 0 | 0.188482 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d14a5a719a4cc3c4107a2c984cc52aa63edc1a41 | 340 | py | Python | ACM ICPC/Math/TowerofHanoi/t-hanoi.py | shreejitverma/GeeksforGeeks | d7bcb166369fffa9a031a258e925b6aff8d44e6c | [
"MIT"
] | 2 | 2022-02-18T05:14:28.000Z | 2022-03-08T07:00:08.000Z | ACM ICPC/Math/TowerofHanoi/t-hanoi.py | shivaniverma1/Competitive-Programming-1 | d7bcb166369fffa9a031a258e925b6aff8d44e6c | [
"MIT"
] | 6 | 2022-01-13T04:31:04.000Z | 2022-03-12T01:06:16.000Z | ACM ICPC/Math/TowerofHanoi/t-hanoi.py | shivaniverma1/Competitive-Programming-1 | d7bcb166369fffa9a031a258e925b6aff8d44e6c | [
"MIT"
] | 2 | 2022-02-14T19:53:53.000Z | 2022-02-18T05:14:30.000Z | c = int()
def hanoi(discs, main, target, aux):
global c
if discs >= 1:
c = c + 1
hanoi(discs - 1, main, aux, target)
print("[{}] -> Move disc {} from {} to {}".format(c, discs, main, target))
hanoi(discs - 1, aux, target, main)
if __name__ == "__main__":
discs = int(input())
hanoi(discs, "main", "target", "aux") | 24.285714 | 78 | 0.561765 | 49 | 340 | 3.734694 | 0.387755 | 0.218579 | 0.245902 | 0.218579 | 0.251366 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015385 | 0.235294 | 340 | 14 | 79 | 24.285714 | 0.688462 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.090909 | 0.090909 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d14aad895aa1ab2d43330b677dee78f21d229e8d | 927 | py | Python | DQM/EcalPreshowerMonitorModule/python/EcalPreshowerMonitorTasks_withFEDIntegrity_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | DQM/EcalPreshowerMonitorModule/python/EcalPreshowerMonitorTasks_withFEDIntegrity_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | DQM/EcalPreshowerMonitorModule/python/EcalPreshowerMonitorTasks_withFEDIntegrity_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
from DQM.EcalPreshowerMonitorModule.ESRawDataTask_cfi import *
from DQM.EcalPreshowerMonitorModule.ESIntegrityTask_cfi import *
from DQM.EcalPreshowerMonitorModule.ESFEDIntegrityTask_cfi import *
#from DQM.EcalPreshowerMonitorModule.ESPedestalTask_cfi import *
from DQM.EcalPreshowerMonitorModule.ESOccupancyTask_cfi import *
from DQM.EcalPreshowerMonitorModule.ESTimingTask_cfi import *
from DQMServices.Core.DQMEDAnalyzer import DQMEDAnalyzer
dqmInfoES = DQMEDAnalyzer('DQMEventInfo',
subSystemFolder = cms.untracked.string('EcalPreshower')
)
#ecalPreshowerDefaultTasksSequence = cms.Sequence(ecalPreshowerOccupancyTask*ecalPreshowerPedestalTask)
ecalPreshowerDefaultTasksSequence = cms.Sequence(ecalPreshowerRawDataTask*ecalPreshowerFEDIntegrityTask*ecalPreshowerIntegrityTask*ecalPreshowerOccupancyTask*ecalPreshowerTimingTask)
| 51.5 | 182 | 0.839266 | 69 | 927 | 11.188406 | 0.478261 | 0.054404 | 0.256477 | 0.103627 | 0.272021 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106796 | 927 | 17 | 183 | 54.529412 | 0.932367 | 0.177994 | 0 | 0 | 0 | 0 | 0.032938 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.636364 | 0 | 0.636364 | 0 | 0 | 0 | 1 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d150f23eb0930c78fbbd9327527d8ac972aa58a3 | 60 | py | Python | geotrek/trekking/__init__.py | pierreloicq/Geotrek-admin | 00cd29f29843f2cc25e5a3c7372fcccf14956887 | [
"BSD-2-Clause"
] | 50 | 2016-10-19T23:01:21.000Z | 2022-03-28T08:28:34.000Z | geotrek/trekking/__init__.py | pierreloicq/Geotrek-admin | 00cd29f29843f2cc25e5a3c7372fcccf14956887 | [
"BSD-2-Clause"
] | 1,422 | 2016-10-27T10:39:40.000Z | 2022-03-31T13:37:10.000Z | geotrek/trekking/__init__.py | pierreloicq/Geotrek-admin | 00cd29f29843f2cc25e5a3c7372fcccf14956887 | [
"BSD-2-Clause"
] | 46 | 2016-10-27T10:59:10.000Z | 2022-03-22T15:55:56.000Z | default_app_config = 'geotrek.trekking.apps.TrekkingConfig'
| 30 | 59 | 0.85 | 7 | 60 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05 | 60 | 1 | 60 | 60 | 0.859649 | 0 | 0 | 0 | 0 | 0 | 0.6 | 0.6 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d1637f863593a9e1adc420f7db46601da9790e70 | 111 | py | Python | rate_severity_of_toxic_comments/__init__.py | ilSommo/rate-severity-of-toxic-comments | c0c28475c4d83eeeea72012df6911fc10ba0edbf | [
"MIT"
] | 1 | 2022-02-25T18:37:02.000Z | 2022-02-25T18:37:02.000Z | rate_severity_of_toxic_comments/__init__.py | ilSommo/rate-severity-of-toxic-comments | c0c28475c4d83eeeea72012df6911fc10ba0edbf | [
"MIT"
] | null | null | null | rate_severity_of_toxic_comments/__init__.py | ilSommo/rate-severity-of-toxic-comments | c0c28475c4d83eeeea72012df6911fc10ba0edbf | [
"MIT"
] | null | null | null | __version__ = '1.0.0-rc.1'
__author__ = 'Lorenzo Menghini, Martino Pulici, Alessandro Stockman, Luca Zucchini'
| 37 | 83 | 0.765766 | 15 | 111 | 5.133333 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040816 | 0.117117 | 111 | 2 | 84 | 55.5 | 0.744898 | 0 | 0 | 0 | 0 | 0 | 0.702703 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d1647f02cd0ce31ce5e58ceba7cc72b1ca175bc4 | 490 | py | Python | quadmodel/deflector_models/sis.py | dangilman/quadmodel | 35bcb3e7f4bd45729ac809af76550456fc10779e | [
"MIT"
] | 1 | 2021-09-24T00:42:56.000Z | 2021-09-24T00:42:56.000Z | quadmodel/deflector_models/sis.py | dangilman/quadmodel | 35bcb3e7f4bd45729ac809af76550456fc10779e | [
"MIT"
] | 1 | 2022-02-28T00:43:31.000Z | 2022-02-28T00:43:31.000Z | quadmodel/deflector_models/sis.py | dangilman/quadmodel | 35bcb3e7f4bd45729ac809af76550456fc10779e | [
"MIT"
] | null | null | null | from quadmodel.deflector_models.model_base import ComponentBase
class SIS(ComponentBase):
def __init__(self, redshift, kwargs_init=None):
self._redshift = redshift
super(SIS, self).__init__(self.lens_model_list, [redshift], kwargs_init)
@property
def n_models(self):
return 1
@property
def lens_model_list(self):
return ['SIS']
@property
def redshift_list(self):
return [self._redshift] * len(self.lens_model_list)
| 22.272727 | 80 | 0.681633 | 60 | 490 | 5.2 | 0.4 | 0.115385 | 0.125 | 0.108974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002625 | 0.222449 | 490 | 21 | 81 | 23.333333 | 0.816273 | 0 | 0 | 0.214286 | 0 | 0 | 0.006122 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.071429 | 0.214286 | 0.642857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
d1766c0f12e4d4e8fcd72423c6aa68d4b7e1ba00 | 618 | py | Python | tamcolors/tam_tools/__init__.py | cmcmarrow/tamcolors | 65a5f2455bbe35a739b98d14af158c3df7feb786 | [
"Apache-2.0"
] | 29 | 2020-07-17T23:46:17.000Z | 2022-02-06T05:36:44.000Z | tamcolors/tam_tools/__init__.py | sudo-nikhil/tamcolors | 65a5f2455bbe35a739b98d14af158c3df7feb786 | [
"Apache-2.0"
] | 42 | 2020-07-25T19:39:52.000Z | 2021-02-24T01:19:58.000Z | tamcolors/tam_tools/__init__.py | sudo-nikhil/tamcolors | 65a5f2455bbe35a739b98d14af158c3df7feb786 | [
"Apache-2.0"
] | 8 | 2020-07-18T23:02:48.000Z | 2020-12-30T04:07:35.000Z | from . import tam_color_palette
from . import tam_fade
from . import tam_film
from . import tam_key_manager
from . import tam_list_surface
from . import tam_menu
from . import tam_placing
from . import tam_print
from . import tam_str
from . import tam_text_box
from . import tam_icon
"""
tam_tools gives tools that support tam
"""
__all__ = ("tam_color_palette",
"tam_fade",
"tam_film",
"tam_key_manager",
"tam_list_surface",
"tam_menu",
"tam_placing",
"tam_print",
"tam_str",
"tam_text_box",
"tam_icon")
| 21.310345 | 38 | 0.627832 | 82 | 618 | 4.304878 | 0.280488 | 0.311615 | 0.405099 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.288026 | 618 | 28 | 39 | 22.071429 | 0.802273 | 0 | 0 | 0 | 0 | 0 | 0.208042 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0.090909 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d17682133ce8c7d78ccc0218bc51adef8118a2cf | 426 | py | Python | config/config.py | minskylab/antevorta | e90ef285819c6466b844ed05c8d71908269d828a | [
"MIT"
] | null | null | null | config/config.py | minskylab/antevorta | e90ef285819c6466b844ed05c8d71908269d828a | [
"MIT"
] | null | null | null | config/config.py | minskylab/antevorta | e90ef285819c6466b844ed05c8d71908269d828a | [
"MIT"
] | null | null | null | from decouple import config
HOST: str = config("HOST", default="0.0.0.0", cast=str)
PORT: int = config("PORT", default=8080, cast=int)
CONCURRENT_TASKS: int = config('CONCURRENT_TASKS', default=50, cast=int)
ADMIN_SECRET: str | None = config('ADMIN_SECRET', default=None)
DIRECTUS_CREATE_RESOURCE_ENDPOINT: str = config("DIRECTUS_CREATE_RESOURCE_ENDPOINT", cast=str)
DIRECTUS_TOKEN: str = config("DIRECTUS_TOKEN", cast=str)
| 42.6 | 94 | 0.762911 | 62 | 426 | 5.048387 | 0.370968 | 0.086262 | 0.019169 | 0.191693 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025974 | 0.096244 | 426 | 9 | 95 | 47.333333 | 0.787013 | 0 | 0 | 0 | 0 | 0 | 0.211268 | 0.077465 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
66f8f7912a33eb81d436098b5ca693caa894ce2a | 296 | py | Python | workflow/scripts/adsorbate/vacuum_converge.py | sevyharris/qe_workflow | 2a9324f16d06c8c37989b5580b10738492fe9957 | [
"MIT"
] | null | null | null | workflow/scripts/adsorbate/vacuum_converge.py | sevyharris/qe_workflow | 2a9324f16d06c8c37989b5580b10738492fe9957 | [
"MIT"
] | 3 | 2022-03-08T15:48:11.000Z | 2022-03-08T16:34:01.000Z | workflow/scripts/adsorbate/vacuum_converge.py | sevyharris/qe_workflow | 2a9324f16d06c8c37989b5580b10738492fe9957 | [
"MIT"
] | null | null | null | import os
import sys
import adlib.adsorbate.convergence
adsorbate_dir = sys.argv[1]
adsorbate_pwo = sys.argv[2]
adlib.adsorbate.convergence.setup_converge(adsorbate_dir, 'vacuum_converge', adsorbate_pwo=adsorbate_pwo)
adlib.adsorbate.convergence.run_converge(adsorbate_dir, 'vacuum_converge')
| 26.909091 | 105 | 0.837838 | 40 | 296 | 5.95 | 0.375 | 0.176471 | 0.315126 | 0.218487 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007246 | 0.067568 | 296 | 10 | 106 | 29.6 | 0.855072 | 0 | 0 | 0 | 0 | 0 | 0.101351 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.428571 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
0f0b100789776fe7224596b6a4237e43840b4a44 | 226 | py | Python | src/CTL/__init__.py | wistaria/CTL | ddb0f917369df4e7233b5ab097595c6ce254862e | [
"MIT"
] | 11 | 2021-06-23T15:47:03.000Z | 2022-03-17T03:29:55.000Z | src/CTL/__init__.py | wistaria/CTL | ddb0f917369df4e7233b5ab097595c6ce254862e | [
"MIT"
] | 1 | 2021-10-16T15:10:54.000Z | 2021-10-16T15:10:54.000Z | src/CTL/__init__.py | wistaria/CTL | ddb0f917369df4e7233b5ab097595c6ce254862e | [
"MIT"
] | 2 | 2021-06-23T09:11:20.000Z | 2021-10-16T15:35:18.000Z | import CTL.funcs.xplib as xplib
def setXP(newXP):
'''
Set the *py(e.g. numpy, cupy) library for CTL
newXP : object, default numpy
The numpy-like library for numeric functions.
'''
xplib.xp = newXP | 22.6 | 53 | 0.637168 | 33 | 226 | 4.363636 | 0.69697 | 0.138889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.261062 | 226 | 10 | 54 | 22.6 | 0.862275 | 0.557522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
0f0bcb29255d61b052314f31dc9f7cc80af38ed4 | 141 | py | Python | kaztron/cog/projects/__init__.py | Laogeodritt/KazTron | 42f35e520875b458ffde7c2729865c95de606aca | [
"MIT"
] | 6 | 2018-07-04T20:41:01.000Z | 2021-09-08T08:10:34.000Z | kaztron/cog/projects/__init__.py | Laogeodritt/KazTron | 42f35e520875b458ffde7c2729865c95de606aca | [
"MIT"
] | 259 | 2018-05-01T22:41:32.000Z | 2022-02-08T23:25:00.000Z | kaztron/cog/projects/__init__.py | Laogeodritt/KazTron | 42f35e520875b458ffde7c2729865c95de606aca | [
"MIT"
] | 6 | 2019-04-16T22:13:15.000Z | 2021-12-15T08:06:38.000Z | def setup(bot):
from .projects import ProjectsManager
from .query import init_db
init_db()
bot.add_cog(ProjectsManager(bot))
| 23.5 | 41 | 0.716312 | 19 | 141 | 5.157895 | 0.631579 | 0.122449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.198582 | 141 | 5 | 42 | 28.2 | 0.867257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
0f1e1d9ae20c4289cc5e5ebbcdd71d3760061dd5 | 144 | py | Python | article/models.py | memoartpad/orders | 032eed1e881a1faa4d8ca7765a3afec247121649 | [
"MIT"
] | null | null | null | article/models.py | memoartpad/orders | 032eed1e881a1faa4d8ca7765a3afec247121649 | [
"MIT"
] | null | null | null | article/models.py | memoartpad/orders | 032eed1e881a1faa4d8ca7765a3afec247121649 | [
"MIT"
] | null | null | null | from django.db import models
class Article(models.Model):
code = models.IntegerField()
description = models.CharField(max_length=256)
| 20.571429 | 50 | 0.75 | 18 | 144 | 5.944444 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02459 | 0.152778 | 144 | 6 | 51 | 24 | 0.852459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
0f360beab67fbf9625bccccd3f10b754df21c6d3 | 755 | py | Python | anif/anif.py | bp15046/iot-access-network-interface-sdk-python3 | 9f81d4bb16571dfb07ceb18593b98dd0c97947f6 | [
"MIT"
] | null | null | null | anif/anif.py | bp15046/iot-access-network-interface-sdk-python3 | 9f81d4bb16571dfb07ceb18593b98dd0c97947f6 | [
"MIT"
] | null | null | null | anif/anif.py | bp15046/iot-access-network-interface-sdk-python3 | 9f81d4bb16571dfb07ceb18593b98dd0c97947f6 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
class AccessNetworkInterface(metaclass=ABCMeta):
def __init__(self, addr, port):
self._addr = addr
self._port = port
self._file = None
self._data = None
def open(self, file):
self._file = file
self._connect()
def close(self):
self._file = None
self._disconnect()
def write(self, data):
self._data = data
self._send()
def read(self):
return self._recv()
@abstractmethod
def _connect(self):
pass
@abstractmethod
def _disconnect(self):
pass
@abstractmethod
def _send(self):
pass
@abstractmethod
def _recv(self):
pass | 18.875 | 48 | 0.562914 | 78 | 755 | 5.205128 | 0.333333 | 0.078818 | 0.162562 | 0.184729 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.349669 | 755 | 40 | 49 | 18.875 | 0.826884 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0.133333 | 0.033333 | 0.033333 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
0f4d7fb1bf3d8288c6ba7c545419afc910a8ecaf | 27 | py | Python | config.py | ttkltll2/fisher_review | 01070316d1e0854fb03460956b67c5c2ed0030be | [
"MIT"
] | null | null | null | config.py | ttkltll2/fisher_review | 01070316d1e0854fb03460956b67c5c2ed0030be | [
"MIT"
] | 3 | 2020-09-15T23:37:18.000Z | 2020-09-16T00:36:55.000Z | config.py | ttkltll2/fisher_review | 01070316d1e0854fb03460956b67c5c2ed0030be | [
"MIT"
] | 1 | 2020-09-15T02:55:54.000Z | 2020-09-15T02:55:54.000Z | DEBUG = False
PER_PAGE = 10 | 13.5 | 13 | 0.740741 | 5 | 27 | 3.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 0.185185 | 27 | 2 | 14 | 13.5 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
0f53006adda19f70842f3a41f5aaa4bd0045d628 | 465 | py | Python | {{cookiecutter.repo_name}}/hseling_lib_{{cookiecutter.package_name}}/tests/test_hseling_api_{{cookiecutter.package_name}}.py | nikita-pershukov/hseling-cookiecutter | 6a8bed4ad7a8245e50f0c68daa209f6009a15dd9 | [
"MIT"
] | null | null | null | {{cookiecutter.repo_name}}/hseling_lib_{{cookiecutter.package_name}}/tests/test_hseling_api_{{cookiecutter.package_name}}.py | nikita-pershukov/hseling-cookiecutter | 6a8bed4ad7a8245e50f0c68daa209f6009a15dd9 | [
"MIT"
] | null | null | null | {{cookiecutter.repo_name}}/hseling_lib_{{cookiecutter.package_name}}/tests/test_hseling_api_{{cookiecutter.package_name}}.py | nikita-pershukov/hseling-cookiecutter | 6a8bed4ad7a8245e50f0c68daa209f6009a15dd9 | [
"MIT"
] | 1 | 2020-09-14T14:44:14.000Z | 2020-09-14T14:44:14.000Z | import unittest
import hseling_api_{{cookiecutter.package_name}}
class HSELing_API_{{cookiecutter.package_name.capitalize()}}TestCase(unittest.TestCase):
def setUp(self):
self.app = hseling_api_{{cookiecutter.package_name}}.app.test_client()
def test_index(self):
rv = self.app.get('/')
self.assertIn('Welcome to hseling_api_{{cookiecutter.application_name}}', rv.data.decode())
if __name__ == '__main__':
unittest.main()
| 25.833333 | 99 | 0.713978 | 56 | 465 | 5.535714 | 0.482143 | 0.129032 | 0.283871 | 0.280645 | 0.319355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.146237 | 465 | 17 | 100 | 27.352941 | 0.780856 | 0 | 0 | 0 | 0 | 0 | 0.139785 | 0.096774 | 0 | 0 | 0 | 0 | 0.1 | 0 | null | null | 0 | 0.2 | null | null | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7e3ecc2e0b14a334d86baa7fe79cab6f47e0ef01 | 342 | py | Python | tests/unit/test_utils_filesystem.py | q0w/pip | 422719863a061640a84c6292e7d86d81e22c938c | [
"MIT"
] | null | null | null | tests/unit/test_utils_filesystem.py | q0w/pip | 422719863a061640a84c6292e7d86d81e22c938c | [
"MIT"
] | 1 | 2022-01-27T19:09:25.000Z | 2022-01-27T19:09:25.000Z | tests/unit/test_utils_filesystem.py | q0w/pip | 422719863a061640a84c6292e7d86d81e22c938c | [
"MIT"
] | null | null | null | import os
from pathlib import Path
def make_file(path: str) -> None:
Path(path).touch()
def make_valid_symlink(path: str) -> None:
target = path + "1"
make_file(target)
os.symlink(target, path)
def make_broken_symlink(path: str) -> None:
os.symlink("foo", path)
def make_dir(path: str) -> None:
os.mkdir(path)
| 16.285714 | 43 | 0.654971 | 52 | 342 | 4.173077 | 0.365385 | 0.129032 | 0.202765 | 0.165899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003676 | 0.204678 | 342 | 20 | 44 | 17.1 | 0.794118 | 0 | 0 | 0 | 0 | 0 | 0.011696 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7e439c1327bb8232bcec330aeba5f4fa6d2bd62b | 255 | py | Python | minecraft_mod_manager/app/configure/configure_repo.py | lospejos/minecraft-mod-manager | 49ec3f6e22dd07a6389d8704bf97c4068be79660 | [
"MIT"
] | 56 | 2021-02-13T20:28:35.000Z | 2022-03-27T17:29:54.000Z | minecraft_mod_manager/app/configure/configure_repo.py | lospejos/minecraft-mod-manager | 49ec3f6e22dd07a6389d8704bf97c4068be79660 | [
"MIT"
] | 102 | 2020-11-11T13:19:38.000Z | 2022-03-31T18:27:06.000Z | minecraft_mod_manager/app/configure/configure_repo.py | lospejos/minecraft-mod-manager | 49ec3f6e22dd07a6389d8704bf97c4068be79660 | [
"MIT"
] | 8 | 2021-02-17T20:27:32.000Z | 2022-03-21T20:06:30.000Z | from typing import Union
from ...core.entities.mod import Mod
class ConfigureRepo:
def get_mod(self, id: str) -> Union[Mod, None]:
raise NotImplementedError()
def update_mod(self, mod: Mod) -> None:
raise NotImplementedError()
| 21.25 | 51 | 0.678431 | 32 | 255 | 5.34375 | 0.5625 | 0.081871 | 0.140351 | 0.362573 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.215686 | 255 | 11 | 52 | 23.181818 | 0.855 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.285714 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
7e52e5459beef89dbde5df7e38aa4d430b9e1a6b | 129 | py | Python | anet/tasks/hexagrid/__init__.py | thomasaunger/Anet | 1d353f280a30c3207fa6d09af91a85c4955bbda4 | [
"BSD-3-Clause"
] | null | null | null | anet/tasks/hexagrid/__init__.py | thomasaunger/Anet | 1d353f280a30c3207fa6d09af91a85c4955bbda4 | [
"BSD-3-Clause"
] | null | null | null | anet/tasks/hexagrid/__init__.py | thomasaunger/Anet | 1d353f280a30c3207fa6d09af91a85c4955bbda4 | [
"BSD-3-Clause"
] | null | null | null | from gym.envs.registration import register
register(
id="ArdaEnv-v0",
entry_point="anet.tasks.hexagrid.envs:ArdaEnv",
)
| 18.428571 | 51 | 0.736434 | 17 | 129 | 5.529412 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008929 | 0.131783 | 129 | 6 | 52 | 21.5 | 0.830357 | 0 | 0 | 0 | 0 | 0 | 0.325581 | 0.248062 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7e54b22da73510f9c74e8d6b7e1f245b57e92e2e | 698 | py | Python | src/negotiating_agent/venv/lib/python3.8/site-packages/geniusweb/profile/utilityspace/LinearAdditive.py | HahaBill/CollaborativeAI | f771cd2f34774c74c58e49a7e983d6244ea35eff | [
"MIT"
] | 1 | 2022-02-17T19:14:46.000Z | 2022-02-17T19:14:46.000Z | src/negotiating_agent/venv/lib/python3.8/site-packages/geniusweb/profile/utilityspace/LinearAdditive.py | HahaBill/CollaborativeAI | f771cd2f34774c74c58e49a7e983d6244ea35eff | [
"MIT"
] | null | null | null | src/negotiating_agent/venv/lib/python3.8/site-packages/geniusweb/profile/utilityspace/LinearAdditive.py | HahaBill/CollaborativeAI | f771cd2f34774c74c58e49a7e983d6244ea35eff | [
"MIT"
] | null | null | null | from decimal import Decimal
from typing import Dict
from geniusweb.profile.utilityspace.UtilitySpace import UtilitySpace
from geniusweb.profile.utilityspace.ValueSetUtilities import ValueSetUtilities
class LinearAdditive ( UtilitySpace):
'''
interface to a Utilityspace that is linear-additive.
'''
def getUtilities(self) -> Dict[str, ValueSetUtilities] :
'''
@return the map from issue names to valuesetutilities (un-weighted)
'''
def getWeights(self) -> Dict[str, Decimal] :
'''
@return the map from issue names to weights. weights sum to 1.
'''
def getWeight(self, issue:str) -> Decimal: '''
@param issue the issue name
@return the weight of the given issue
'''
| 24.928571 | 78 | 0.734957 | 85 | 698 | 6.035294 | 0.458824 | 0.052632 | 0.077973 | 0.124756 | 0.109162 | 0.109162 | 0.109162 | 0 | 0 | 0 | 0 | 0.001724 | 0.169054 | 698 | 27 | 79 | 25.851852 | 0.882759 | 0.356734 | 0 | 0 | 0 | 0 | 0.151767 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.363636 | 0 | 0.727273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
7e584133e626487b3d0ffb903947153696ce6808 | 124 | py | Python | rdmo/questions/widgets.py | m6121/rdmo | db3990c7525138c6ce9634fc3e5b6b8ee9b915c8 | [
"Apache-2.0"
] | 77 | 2016-08-09T11:40:20.000Z | 2022-03-06T11:03:26.000Z | rdmo/questions/widgets.py | m6121/rdmo | db3990c7525138c6ce9634fc3e5b6b8ee9b915c8 | [
"Apache-2.0"
] | 377 | 2016-07-01T13:59:36.000Z | 2022-03-30T13:53:19.000Z | rdmo/questions/widgets.py | m6121/rdmo | db3990c7525138c6ce9634fc3e5b6b8ee9b915c8 | [
"Apache-2.0"
] | 47 | 2016-06-23T11:32:19.000Z | 2022-03-01T11:34:37.000Z | from rdmo.core.plugins import Plugin
class Widget(Plugin):
template_name = None
scss_files = []
js_files = []
| 15.5 | 36 | 0.669355 | 16 | 124 | 5 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.233871 | 124 | 7 | 37 | 17.714286 | 0.842105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
7e59f32d126fed1639cadacdfa01807269d0cc51 | 184 | py | Python | workers/base/constantes.py | rjcorflo/ServerMessageWorkers | 55659dc73719867a57f83d9ec0231fa4001e51a2 | [
"MIT"
] | null | null | null | workers/base/constantes.py | rjcorflo/ServerMessageWorkers | 55659dc73719867a57f83d9ec0231fa4001e51a2 | [
"MIT"
] | null | null | null | workers/base/constantes.py | rjcorflo/ServerMessageWorkers | 55659dc73719867a57f83d9ec0231fa4001e51a2 | [
"MIT"
] | null | null | null | """
Constants
"""
MONGO_DOCKER_SERVICE = "db"
MONGO_HOST = "192.168.99.100"
MONGO_PORT = 27017
RABBIT_DOCKER_SERVICE = "rabbit"
RABBIT_HOST = "192.168.99.100"
RABBIT_PORT = 5672
| 11.5 | 32 | 0.711957 | 27 | 184 | 4.555556 | 0.518519 | 0.211382 | 0.162602 | 0.195122 | 0.243902 | 0 | 0 | 0 | 0 | 0 | 0 | 0.197452 | 0.146739 | 184 | 15 | 33 | 12.266667 | 0.585987 | 0.048913 | 0 | 0 | 0 | 0 | 0.215569 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7e7bc26f31749a74de5c674f09370bb53e65cb60 | 352 | py | Python | backapi/admin.py | rashiddaha/health-care-backend | ed9f918a30f1648501184804816ab98d00bcc3ed | [
"MIT"
] | null | null | null | backapi/admin.py | rashiddaha/health-care-backend | ed9f918a30f1648501184804816ab98d00bcc3ed | [
"MIT"
] | null | null | null | backapi/admin.py | rashiddaha/health-care-backend | ed9f918a30f1648501184804816ab98d00bcc3ed | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Measurement, DeductCreditSetting
@admin.register(Measurement)
class MeasurementAdmin(admin.ModelAdmin):
list_display = ['category', 'user', 'value', 'created']
@admin.register(DeductCreditSetting)
class MeasurementAdmin(admin.ModelAdmin):
list_display = ['amount', 'updated', 'created']
| 27.076923 | 59 | 0.767045 | 35 | 352 | 7.657143 | 0.571429 | 0.097015 | 0.19403 | 0.268657 | 0.350746 | 0.350746 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107955 | 352 | 12 | 60 | 29.333333 | 0.853503 | 0 | 0 | 0.25 | 0 | 0 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
7e82f86a625e002de34204df557f4a84525b06a0 | 118 | py | Python | Django-Python-Full-Stack-Web-Devloper-master/Django_Level_Two/ProTwo/appTwo/urls.py | apoorv-x12/Django | 2b052e654571e4703beb22ad562efab0520f845c | [
"MIT"
] | 6 | 2021-07-26T14:21:25.000Z | 2021-07-26T14:32:01.000Z | Django-Python-Full-Stack-Web-Devloper-master/Django_Level_Two/ProTwo/appTwo/urls.py | apoorv-x12/Django | 2b052e654571e4703beb22ad562efab0520f845c | [
"MIT"
] | 2 | 2021-12-10T10:25:19.000Z | 2021-12-10T10:27:15.000Z | Web-Dev/DJANGO_COURSE_1.xx/Django_Level_Two/ProTwo/appTwo/urls.py | Advik-B/Learn-Python | 66ac57259764e8f2c3c6513a8de6c106800d8abe | [
"MIT"
] | null | null | null | from django.conf.urls import url
from appTwo import views
urlpatterns = [
url(r'^$',views.users,name='users'),
]
| 16.857143 | 40 | 0.694915 | 17 | 118 | 4.823529 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152542 | 118 | 6 | 41 | 19.666667 | 0.82 | 0 | 0 | 0 | 0 | 0 | 0.059322 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
7e99afaaf2016aa09354d255dce00660222efbd7 | 2,434 | py | Python | tests/test_packing.py | grantps/superhelp | d8e861bf1ad91571ac23b9c833a8cd461bb1952f | [
"MIT"
] | 27 | 2020-05-17T20:48:43.000Z | 2022-01-08T21:32:30.000Z | tests/test_packing.py | grantps/superhelp | d8e861bf1ad91571ac23b9c833a8cd461bb1952f | [
"MIT"
] | null | null | null | tests/test_packing.py | grantps/superhelp | d8e861bf1ad91571ac23b9c833a8cd461bb1952f | [
"MIT"
] | null | null | null | from textwrap import dedent
from tests import check_as_expected
ROOT = 'superhelp.helpers.packing_help.'
def test_misc():
test_conf = [
(
dedent("""\
pet = 'cat'
"""),
{
ROOT + 'unpacking': 0,
ROOT + 'unpacking_opportunity': 0,
}
),
(
dedent("""\
x, y = coord
"""),
{
ROOT + 'unpacking': 1,
ROOT + 'unpacking_opportunity': 0,
}
),
(
dedent("""\
x, y = coord1
x, y = coord2
"""),
{
ROOT + 'unpacking': 2,
ROOT + 'unpacking_opportunity': 0,
}
),
(
dedent("""\
for i in range(2):
x, y = coord1
x, y = coord2
"""),
{
ROOT + 'unpacking': 1, ## in one block so one message
ROOT + 'unpacking_opportunity': 0,
}
),
(
dedent("""\
x = coord[0]
y = coord[1]
"""),
{
ROOT + 'unpacking': 0,
ROOT + 'unpacking_opportunity': 1,
}
),
(
dedent("""\
for i in range(2):
x = coord[0]
y = coord[1]
"""),
{
ROOT + 'unpacking': 0,
ROOT + 'unpacking_opportunity': 1,
}
),
(
dedent("""\
for i in range(2):
x = coord1[0]
y = coord1[1]
for i in range(2):
x = coord2[0]
y = coord2[1]
"""),
{
ROOT + 'unpacking': 0,
ROOT + 'unpacking_opportunity': 1, ## snippet-level message so only the one
}
),
(
dedent("""\
nz_capital = capitals['NZ']
aus_capital = capitals['Australia']
"""),
{
ROOT + 'unpacking': 0,
ROOT + 'unpacking_opportunity': 0, ## snippet-level message so only the one
}
),
]
check_as_expected(test_conf, execute_code=True)
check_as_expected(test_conf, execute_code=False)
# test_misc()
| 24.836735 | 92 | 0.351684 | 191 | 2,434 | 4.356021 | 0.26178 | 0.25 | 0.230769 | 0.108173 | 0.691106 | 0.661058 | 0.608173 | 0.289663 | 0.171875 | 0.171875 | 0 | 0.031414 | 0.52917 | 2,434 | 97 | 93 | 25.092784 | 0.69459 | 0.047247 | 0 | 0.554348 | 0 | 0 | 0.42579 | 0.095197 | 0 | 0 | 0 | 0 | 0 | 1 | 0.01087 | false | 0 | 0.021739 | 0 | 0.032609 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
0e40192cc2908b80b283b4e06a91550f5ea67a15 | 207 | py | Python | module_b/tests/test_the_answer.py | SwitchEV/local-actions-runner-poc | 5548696f104fcd2acff07cb9f572e9cf378d5146 | [
"MIT"
] | null | null | null | module_b/tests/test_the_answer.py | SwitchEV/local-actions-runner-poc | 5548696f104fcd2acff07cb9f572e9cf378d5146 | [
"MIT"
] | 1 | 2021-09-02T12:14:37.000Z | 2021-09-02T12:14:37.000Z | module_b/tests/test_the_answer.py | SwitchEV/local-actions-runner-poc | 5548696f104fcd2acff07cb9f572e9cf378d5146 | [
"MIT"
] | null | null | null | from module_b.main import get_the_question
QUESTION: str = "life universe and everything"
def test_given_question_is_known_when_asked_for_question_then_answer():
assert QUESTION == get_the_question()
| 25.875 | 71 | 0.826087 | 31 | 207 | 5.032258 | 0.774194 | 0.076923 | 0.179487 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115942 | 207 | 7 | 72 | 29.571429 | 0.852459 | 0 | 0 | 0 | 0 | 0 | 0.135266 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.25 | true | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
0e499c187067cedd813ed0fb842eae9d4f1fff63 | 65 | py | Python | lambdata_razzlestorm/__init__.py | razzlestorm/lambdata_razzlestorm | 1877320277d0b9ca376c6c12eb34c404581bd75f | [
"MIT"
] | 1 | 2022-02-01T21:20:26.000Z | 2022-02-01T21:20:26.000Z | lambdata_razzlestorm/__init__.py | razzlestorm/lambdata_razzlestorm | 1877320277d0b9ca376c6c12eb34c404581bd75f | [
"MIT"
] | 4 | 2020-03-24T17:58:31.000Z | 2021-06-02T00:59:15.000Z | lambdata_razzlestorm/__init__.py | razzlestorm/lambdata_razzlestorm | 1877320277d0b9ca376c6c12eb34c404581bd75f | [
"MIT"
] | null | null | null | __version__ = "0.0.2"
my_str = "this is my_str from __init__.py"
| 21.666667 | 42 | 0.707692 | 13 | 65 | 2.769231 | 0.769231 | 0.277778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054545 | 0.153846 | 65 | 2 | 43 | 32.5 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0.553846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
0e4a453dcb1974245d3bb3acba5d91a3fee0897e | 85 | py | Python | bad-analytics.js/constant.py | pcnoic/bad-analytics.js | f3b7492641f218135292ab36d7c611a659d917be | [
"Apache-2.0"
] | null | null | null | bad-analytics.js/constant.py | pcnoic/bad-analytics.js | f3b7492641f218135292ab36d7c611a659d917be | [
"Apache-2.0"
] | null | null | null | bad-analytics.js/constant.py | pcnoic/bad-analytics.js | f3b7492641f218135292ab36d7c611a659d917be | [
"Apache-2.0"
] | null | null | null | MALICIOUS_LOCATION = "/wp-includes/js/jquery/jquery-migrate.min.js"
WORKDIR = "tmp/"
| 28.333333 | 67 | 0.752941 | 12 | 85 | 5.25 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070588 | 85 | 2 | 68 | 42.5 | 0.797468 | 0 | 0 | 0 | 0 | 0 | 0.564706 | 0.517647 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
0e7df7d18008dd81f9c66a3058f43866f859f741 | 121 | py | Python | tests/__init__.py | azadoks/aiida-openmx | 2298a95c0f10e63d8d83d36ebec5746ff579a5e4 | [
"MIT"
] | null | null | null | tests/__init__.py | azadoks/aiida-openmx | 2298a95c0f10e63d8d83d36ebec5746ff579a5e4 | [
"MIT"
] | 1 | 2021-02-16T10:46:58.000Z | 2021-02-18T11:07:14.000Z | tests/__init__.py | zooks97/aiida-openmx | 2298a95c0f10e63d8d83d36ebec5746ff579a5e4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Tests for aiida-openmx."""
import os
TEST_DIR = os.path.dirname(os.path.realpath(__file__))
| 17.285714 | 54 | 0.661157 | 18 | 121 | 4.166667 | 0.833333 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009434 | 0.123967 | 121 | 6 | 55 | 20.166667 | 0.698113 | 0.380165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
7ec468435a3ef92a6bd73a6f59ebfddeb792d19c | 1,867 | py | Python | plugged/uri.py | tantalum7/plugged | 0eed969d034fd9eb09ed1691af10bbe702fe8912 | [
"WTFPL"
] | null | null | null | plugged/uri.py | tantalum7/plugged | 0eed969d034fd9eb09ed1691af10bbe702fe8912 | [
"WTFPL"
] | 3 | 2021-03-31T18:39:28.000Z | 2021-12-13T19:48:38.000Z | plugged/uri.py | tantalum7/plugged | 0eed969d034fd9eb09ed1691af10bbe702fe8912 | [
"WTFPL"
] | null | null | null |
import urllib
import urllib.parse
import zlib
class Uri:
def __init__(self, scheme: str, hostname: str, port: int, resource: str):
""" Simple Uri (Universal Resource Identifier) class to split/join uri components
format: scheme://hostname:port/resource (e.g. http://stuff.com:1234/personal/addressbook.xml)"""
self.scheme = scheme
self.hostname = hostname
self.port = port
self.resource = resource
@classmethod
def parse(cls, url_string):
""" Create a Uri instance by parsing a url string"""
url = urllib.parse.urlsplit(url_string)
return cls(scheme=url.scheme, hostname=url.hostname, port=url.port, resource=url.path)
def get_url(self, resource=None):
resource = resource if resource else self.resource
fmt = "{scheme}://{hostname}:{port}{resource}" if self.port is not None else "{scheme}://{hostname}{resource}"
return fmt.format(scheme=self.scheme, hostname=self.hostname, port=self.port, resource=resource)
def get_root_url(self):
fmt = "{scheme}://{hostname}:{port}" if self.port is not None else "{scheme}://{hostname}"
return fmt.format(scheme=self.scheme, hostname=self.hostname, port=self.port)
def copy(self, resource=None):
resource = resource if resource else self.resource
return Uri(scheme=self.scheme, hostname=self.hostname, port=self.port, resource=resource)
def __repr__(self):
return "Uri({scheme}, {hostname}, {port}, {resource}".format(**self.__dict__)
def __str__(self):
return self.get_url()
def __hash__(self):
return zlib.adler32(repr(self).encode())
def __eq__(self, other):
if isinstance(other, Uri):
return other.__hash__() == self.__hash__()
def __ne__(self, other):
return not self.__eq__(other) | 37.34 | 118 | 0.658811 | 239 | 1,867 | 4.953975 | 0.259414 | 0.118243 | 0.060811 | 0.065878 | 0.339527 | 0.339527 | 0.339527 | 0.339527 | 0.339527 | 0.277027 | 0 | 0.004073 | 0.211034 | 1,867 | 50 | 119 | 37.34 | 0.799728 | 0.116229 | 0 | 0.058824 | 0 | 0 | 0.099692 | 0.072615 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0 | 0.088235 | 0.117647 | 0.676471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
7ec659d7a096eee0f3f3bb82b835a0ed20f2a675 | 164 | py | Python | project1b.py | kaamila42/project1 | 736b5e59bf450bea852c6aa6e9454efbd6c293c6 | [
"MIT"
] | null | null | null | project1b.py | kaamila42/project1 | 736b5e59bf450bea852c6aa6e9454efbd6c293c6 | [
"MIT"
] | null | null | null | project1b.py | kaamila42/project1 | 736b5e59bf450bea852c6aa6e9454efbd6c293c6 | [
"MIT"
] | null | null | null | filename = input("Input the Filename: " ,"py = python", "txt = text", ...)
f_extns = filename.split(".")
print(f " The extension of the file is '{f_extns[]}'")
| 41 | 76 | 0.609756 | 23 | 164 | 4.26087 | 0.652174 | 0.122449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.176829 | 164 | 3 | 77 | 54.666667 | 0.725926 | 0 | 0 | 0 | 0 | 0 | 0.534161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7ed176c179fb0b95d199b4d2352d917cb80cf11a | 234 | py | Python | output/models/nist_data/list_pkg/string/schema_instance/nistschema_sv_iv_list_string_length_4_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/list_pkg/string/schema_instance/nistschema_sv_iv_list_string_length_4_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/list_pkg/string/schema_instance/nistschema_sv_iv_list_string_length_4_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.list_pkg.string.schema_instance.nistschema_sv_iv_list_string_length_4_xsd.nistschema_sv_iv_list_string_length_4 import NistschemaSvIvListStringLength4
__all__ = [
"NistschemaSvIvListStringLength4",
]
| 39 | 179 | 0.884615 | 29 | 234 | 6.448276 | 0.655172 | 0.128342 | 0.149733 | 0.192513 | 0.331551 | 0.331551 | 0.331551 | 0 | 0 | 0 | 0 | 0.018182 | 0.059829 | 234 | 5 | 180 | 46.8 | 0.831818 | 0 | 0 | 0 | 0 | 0 | 0.132479 | 0.132479 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7edca112c9643f2a2eb351a7f74219653a370e12 | 30 | py | Python | zendesk_viewer/api/__init__.py | arunima811/zendesk-ticket-viewer | 3e567cbc6b0af29b9cb722ff1a1ac3cf73c671c1 | [
"MIT"
] | null | null | null | zendesk_viewer/api/__init__.py | arunima811/zendesk-ticket-viewer | 3e567cbc6b0af29b9cb722ff1a1ac3cf73c671c1 | [
"MIT"
] | null | null | null | zendesk_viewer/api/__init__.py | arunima811/zendesk-ticket-viewer | 3e567cbc6b0af29b9cb722ff1a1ac3cf73c671c1 | [
"MIT"
] | null | null | null | __all__ = ["ZendeskApiClient"] | 30 | 30 | 0.766667 | 2 | 30 | 9.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 30 | 1 | 30 | 30 | 0.678571 | 0 | 0 | 0 | 0 | 0 | 0.516129 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7eff518fbe6806796b18aeaff1294533474c066c | 70 | py | Python | plotter/__init__.py | davidelbaze/plotter | 79871d87b6d1d35ce72159e664dd4e09eef559b7 | [
"MIT"
] | null | null | null | plotter/__init__.py | davidelbaze/plotter | 79871d87b6d1d35ce72159e664dd4e09eef559b7 | [
"MIT"
] | null | null | null | plotter/__init__.py | davidelbaze/plotter | 79871d87b6d1d35ce72159e664dd4e09eef559b7 | [
"MIT"
] | null | null | null | from .plotter import Plotter, PlotterType
__all__ = ["gtk3_plotter"]
| 17.5 | 41 | 0.771429 | 8 | 70 | 6.125 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 0.128571 | 70 | 3 | 42 | 23.333333 | 0.786885 | 0 | 0 | 0 | 0 | 0 | 0.171429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
7d025b237f59fc9d709684e8bae5d3f8d01d48f3 | 2,494 | py | Python | fedml_core/distributed/communication/message.py | GabriJP/FedML | 9ccf52baddc065bf9cf3ca8ae2eeaadbc338e988 | [
"Apache-2.0"
] | null | null | null | fedml_core/distributed/communication/message.py | GabriJP/FedML | 9ccf52baddc065bf9cf3ca8ae2eeaadbc338e988 | [
"Apache-2.0"
] | null | null | null | fedml_core/distributed/communication/message.py | GabriJP/FedML | 9ccf52baddc065bf9cf3ca8ae2eeaadbc338e988 | [
"Apache-2.0"
] | null | null | null | import json
import logging
import sys
from torch import Tensor
class Message:
MSG_ARG_KEY_OPERATION = "operation"
MSG_ARG_KEY_TYPE = "msg_type"
MSG_ARG_KEY_SENDER = "sender"
MSG_ARG_KEY_RECEIVER = "receiver"
MSG_OPERATION_SEND = "send"
MSG_OPERATION_RECEIVE = "receive"
MSG_OPERATION_BROADCAST = "broadcast"
MSG_OPERATION_REDUCE = "reduce"
MSG_ARG_KEY_MODEL_PARAMS = "model_params"
def __init__(self, msg_type=0, sender_id=0, receiver_id=0):
self.msg_type = msg_type
self.sender_id = sender_id
self.receiver_id = receiver_id
self.msg_params = {
Message.MSG_ARG_KEY_TYPE: msg_type,
Message.MSG_ARG_KEY_SENDER: sender_id,
Message.MSG_ARG_KEY_RECEIVER: receiver_id,
}
def init(self, msg_params):
self.msg_params = msg_params
def init_from_json_string(self, json_string):
self.msg_params = json.loads(json_string)
self.msg_type = self.msg_params[Message.MSG_ARG_KEY_TYPE]
self.sender_id = self.msg_params[Message.MSG_ARG_KEY_SENDER]
self.receiver_id = self.msg_params[Message.MSG_ARG_KEY_RECEIVER]
# print("msg_params = " + str(self.msg_params))
def get_sender_id(self):
return self.sender_id
def get_receiver_id(self):
return self.receiver_id
@staticmethod
def _tensor_to_numpy(tensor: Tensor):
return tensor.cpu().numpy().tolist()
def add_params(self, key, value):
if isinstance(value, Tensor):
value = self._tensor_to_numpy(value)
elif isinstance(value, dict):
for k, v in value.items():
if not isinstance(v, Tensor):
continue
value[k] = self._tensor_to_numpy(v)
self.msg_params[key] = value
def get_params(self):
return self.msg_params
def add(self, key, value):
self.msg_params[key] = value
def get(self, key):
return self.msg_params[key]
def get_type(self):
return self.msg_params[Message.MSG_ARG_KEY_TYPE]
def to_string(self):
return self.msg_params
def to_json(self):
json_string = json.dumps(self.msg_params)
logging.info(f"json string size = {sys.getsizeof(json_string)}")
return json_string
def get_content(self):
print_dict = self.msg_params.copy()
msg_str = f"{self.msg_params[Message.MSG_ARG_KEY_TYPE]}: {print_dict}"
return msg_str
| 29.341176 | 78 | 0.655974 | 344 | 2,494 | 4.40407 | 0.168605 | 0.092409 | 0.145875 | 0.09505 | 0.313531 | 0.227723 | 0.175578 | 0.139934 | 0.051485 | 0 | 0 | 0.00161 | 0.253007 | 2,494 | 84 | 79 | 29.690476 | 0.811594 | 0.018043 | 0 | 0.0625 | 0 | 0 | 0.070699 | 0.029424 | 0 | 0 | 0 | 0 | 0 | 1 | 0.21875 | false | 0 | 0.0625 | 0.109375 | 0.578125 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
7d1a3b3018a8bfc4f70c85bafaf5e49fce9b1a38 | 172 | py | Python | aiodocker/__init__.py | truenas/aiodocker | 8edefe73832d62d70fa11a4846594bc74ae12244 | [
"Apache-2.0"
] | 1 | 2019-12-02T08:43:23.000Z | 2019-12-02T08:43:23.000Z | aiodocker/__init__.py | truenas/aiodocker | 8edefe73832d62d70fa11a4846594bc74ae12244 | [
"Apache-2.0"
] | 30 | 2021-08-19T04:28:08.000Z | 2022-03-29T04:20:41.000Z | aiodocker/__init__.py | truenas/aiodocker | 8edefe73832d62d70fa11a4846594bc74ae12244 | [
"Apache-2.0"
] | null | null | null | from .docker import Docker
from .exceptions import DockerContainerError, DockerError
__version__ = "0.19.1"
__all__ = ("Docker", "DockerError", "DockerContainerError")
| 19.111111 | 59 | 0.767442 | 17 | 172 | 7.294118 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02649 | 0.122093 | 172 | 8 | 60 | 21.5 | 0.794702 | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
7d21e420d169da90cc5acf48d6c06ceded8ed4be | 717 | py | Python | discord-mensa/commands/menu.py | pblan/discord-mensa | 81d07812bd958b93894c2adeae41d7b758bf0c64 | [
"MIT"
] | 1 | 2021-09-27T07:13:19.000Z | 2021-09-27T07:13:19.000Z | discord-mensa/commands/menu.py | pblan/discord-mensa | 81d07812bd958b93894c2adeae41d7b758bf0c64 | [
"MIT"
] | 4 | 2021-09-29T21:22:39.000Z | 2021-09-29T21:26:14.000Z | discord-mensa/commands/menu.py | pblan/discord-mensa | 81d07812bd958b93894c2adeae41d7b758bf0c64 | [
"MIT"
] | null | null | null | import hikari
import lightbulb
import typing
from datetime import datetime
from ..helpers.utils import respond_menu
from Constants import GUILD_IDS
class Menu(lightbulb.slash_commands.SlashCommand):
# Options
id: int = lightbulb.slash_commands.Option(
description="ID der Mensa (siehe https://openmensa.org)", required=True
)
@property
def description(self) -> str:
return "Zeigt den Speiseplan einer Mensa an."
@property
def enabled_guilds(self) -> typing.Optional[typing.Iterable[int]]:
return GUILD_IDS
async def callback(self, ctx: lightbulb.context.Context) -> None:
await respond_menu(ctx, ctx.option_values.id, datetime.today().weekday())
| 26.555556 | 81 | 0.718271 | 89 | 717 | 5.696629 | 0.595506 | 0.043393 | 0.086785 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.18689 | 717 | 26 | 82 | 27.576923 | 0.86964 | 0.009763 | 0 | 0.111111 | 0 | 0 | 0.110169 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.333333 | 0.111111 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 3 |
7d422fbe219a8004c509ec5071928e449b170da7 | 94 | py | Python | boj/math/boj_1037.py | ruslanlvivsky/python-algorithm | 2b49bed33cd0e95b8a1e758008191f4392b3f667 | [
"MIT"
] | 1 | 2022-03-01T10:32:08.000Z | 2022-03-01T10:32:08.000Z | boj/math/boj_1037.py | sangjinsu/python-algorithm | 2b49bed33cd0e95b8a1e758008191f4392b3f667 | [
"MIT"
] | null | null | null | boj/math/boj_1037.py | sangjinsu/python-algorithm | 2b49bed33cd0e95b8a1e758008191f4392b3f667 | [
"MIT"
] | null | null | null | n = int(input())
nums = list(map(int, input().strip().split()))
print(min(nums) * max(nums))
| 18.8 | 46 | 0.606383 | 15 | 94 | 3.8 | 0.733333 | 0.280702 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117021 | 94 | 4 | 47 | 23.5 | 0.686747 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
adbfce9fcd6ac69e8af44f7fbe04922945667ff5 | 134 | py | Python | docs/source/examples/unordered.py | alexras/boomslang | 62b6dc3a183fd8686b165c4abdb55d10d537b4ab | [
"BSD-3-Clause"
] | 4 | 2015-02-24T06:50:08.000Z | 2020-08-08T03:23:32.000Z | docs/source/examples/unordered.py | alexras/boomslang | 62b6dc3a183fd8686b165c4abdb55d10d537b4ab | [
"BSD-3-Clause"
] | 13 | 2017-07-17T15:52:09.000Z | 2017-07-17T15:52:09.000Z | docs/source/examples/unordered.py | alexras/boomslang | 62b6dc3a183fd8686b165c4abdb55d10d537b4ab | [
"BSD-3-Clause"
] | null | null | null | line = Line()
line.xValues = [2, 1, 3, 4, 0]
line.yValues = [2, 1, 3, 4, 0]
plot = Plot()
plot.add(line)
plot.save("unordered.png")
| 14.888889 | 30 | 0.589552 | 25 | 134 | 3.16 | 0.52 | 0.202532 | 0.075949 | 0.101266 | 0.126582 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 0.179104 | 134 | 8 | 31 | 16.75 | 0.627273 | 0 | 0 | 0 | 0 | 0 | 0.097015 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
adcecd56b8a4fe0993d64d6581afd6d9ce573e8e | 72 | py | Python | jaraco/input/win32/__init__.py | jaraco/jaraco.input | 2693448286ce496efc82045ad4e1165f0479cc15 | [
"MIT"
] | null | null | null | jaraco/input/win32/__init__.py | jaraco/jaraco.input | 2693448286ce496efc82045ad4e1165f0479cc15 | [
"MIT"
] | null | null | null | jaraco/input/win32/__init__.py | jaraco/jaraco.input | 2693448286ce496efc82045ad4e1165f0479cc15 | [
"MIT"
] | null | null | null | from .xinput import XInputJoystick as Joystick
__all__ = ['Joystick']
| 14.4 | 46 | 0.763889 | 8 | 72 | 6.375 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152778 | 72 | 4 | 47 | 18 | 0.836066 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
adf6335f49f9c0c741a9ac5b83c6d7951e1566d2 | 685 | py | Python | modules/parser/nodes/sequential_operation_node.py | DavidMacDonald11/sea-to-c-transpiler-python-based | 20c41931346b13d4bf2a12e96037f44b1add8145 | [
"MIT"
] | null | null | null | modules/parser/nodes/sequential_operation_node.py | DavidMacDonald11/sea-to-c-transpiler-python-based | 20c41931346b13d4bf2a12e96037f44b1add8145 | [
"MIT"
] | 11 | 2021-04-22T13:09:34.000Z | 2022-01-29T22:53:58.000Z | modules/parser/nodes/sequential_operation_node.py | DavidMacDonald11/sea-to-c-transpiler-python-based | 20c41931346b13d4bf2a12e96037f44b1add8145 | [
"MIT"
] | null | null | null | from modules.lexer.position import Position
from .ast_node import ASTNode
class SequentialOperationNode(ASTNode):
def __init__(self, left, right):
self.left = left
self.right = right
super().__init__(Position(left.position.start, right.position.end))
def __repr__(self):
return f"({self.left}, THEN, {self.right})"
def visit(self, visitor):
left = self.left.visit(visitor)
right = self.right.visit(visitor)
return left if right == "" else f"{left}\n{right}"
def interpret(self, interpreter):
return self.visit(interpreter)
def transpile(self, transpiler):
return self.visit(transpiler)
| 27.4 | 75 | 0.656934 | 83 | 685 | 5.26506 | 0.373494 | 0.073227 | 0.06865 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.224818 | 685 | 24 | 76 | 28.541667 | 0.822976 | 0 | 0 | 0 | 0 | 0 | 0.070073 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.294118 | false | 0 | 0.117647 | 0.176471 | 0.705882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
bc01518ec0109a1ca2291438fe4d07b2c54d8a81 | 982 | py | Python | JobsDB/models.py | zrzxj/JobsSpiderManager | f6e60d4035fb7651d62900f2c8a147cdf04bbc07 | [
"Apache-2.0"
] | null | null | null | JobsDB/models.py | zrzxj/JobsSpiderManager | f6e60d4035fb7651d62900f2c8a147cdf04bbc07 | [
"Apache-2.0"
] | null | null | null | JobsDB/models.py | zrzxj/JobsSpiderManager | f6e60d4035fb7651d62900f2c8a147cdf04bbc07 | [
"Apache-2.0"
] | null | null | null | from django.db import models
class JobInfo(models.Model):
id = models.AutoField(primary_key=True)
source = models.CharField(max_length=100, null=True, blank=True)
job_id = models.CharField(max_length=100, unique=True)
job_name = models.CharField(max_length=100, null=True, blank=True)
company_name = models.CharField(max_length=100, null=True, blank=True)
provide_salary = models.CharField(max_length=100, null=True, blank=True)
update_date = models.CharField(max_length=100, null=True, blank=True)
company_location = models.CharField(max_length=100, null=True, blank=True)
experience_requirement = models.CharField(max_length=100, null=True, blank=True)
academic_requirements = models.CharField(max_length=100, null=True, blank=True)
demand_num = models.CharField(max_length=100, null=True, blank=True)
job_requirements = models.CharField(max_length=100, null=True, blank=True)
def __str__(self):
return self.job_name | 49.1 | 84 | 0.754582 | 140 | 982 | 5.1 | 0.278571 | 0.231092 | 0.277311 | 0.369748 | 0.726891 | 0.689076 | 0.689076 | 0.689076 | 0.689076 | 0.504202 | 0 | 0.038732 | 0.132383 | 982 | 20 | 85 | 49.1 | 0.799296 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 0.0625 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
bc1a794687d5998d3274a2c3e88bc2ab2cbfe58a | 316 | py | Python | botstory/__init__.py | botstory/bot-story | 9c5b2fc7f7a14dbd467d70f60d5ba855ef89dac3 | [
"MIT"
] | 5 | 2017-01-14T13:42:13.000Z | 2021-07-27T21:52:04.000Z | botstory/__init__.py | botstory/bot-story | 9c5b2fc7f7a14dbd467d70f60d5ba855ef89dac3 | [
"MIT"
] | 235 | 2016-11-07T23:33:28.000Z | 2018-03-13T11:27:33.000Z | botstory/__init__.py | hyzhak/bot-story | 9c5b2fc7f7a14dbd467d70f60d5ba855ef89dac3 | [
"MIT"
] | 5 | 2017-01-14T13:42:14.000Z | 2020-11-06T08:33:20.000Z | from .ast.callable import EndOfStory
from .ast.forking import SwitchOnValue, Undefined
from .story import Story
import os
__all__ = [EndOfStory, Story, SwitchOnValue]
with open(os.path.join(os.path.dirname(os.path.realpath(__file__)), 'version.txt')) as version_file:
__version__ = version_file.read().strip()
| 31.6 | 100 | 0.775316 | 43 | 316 | 5.372093 | 0.534884 | 0.077922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107595 | 316 | 9 | 101 | 35.111111 | 0.819149 | 0 | 0 | 0 | 0 | 0 | 0.03481 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.571429 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
bc1e72531c888ffd6f8a9aa21c25be6502ced3a4 | 99 | py | Python | backend/apps/ineedstudent/apps.py | n-hackert/match4healthcare | 761248c27b49e568c545c643a72eac9a040649d7 | [
"MIT"
] | 3 | 2020-03-27T20:39:31.000Z | 2020-03-31T20:24:55.000Z | backend/apps/ineedstudent/apps.py | n-hackert/match4healthcare | 761248c27b49e568c545c643a72eac9a040649d7 | [
"MIT"
] | 21 | 2020-03-28T09:57:15.000Z | 2020-03-31T11:38:00.000Z | backend/apps/ineedstudent/apps.py | n-hackert/match4healthcare | 761248c27b49e568c545c643a72eac9a040649d7 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class IneedstudentConfig(AppConfig):
name = 'ineedstudent'
| 16.5 | 36 | 0.777778 | 10 | 99 | 7.7 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151515 | 99 | 5 | 37 | 19.8 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0.121212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
bc362c4bd09d1ed2d56185e2ae93df34c6acfaf2 | 190 | py | Python | rainy_project/notice/urls.py | osamhack2020/WEB_HeavyReading_Rainy | 58b7429e88931175ddceab2c280161a267149a15 | [
"MIT"
] | 2 | 2021-08-15T02:17:43.000Z | 2022-01-31T14:46:20.000Z | rainy_project/notice/urls.py | habijung/WEB_HeavyReading_Rainy | 58b7429e88931175ddceab2c280161a267149a15 | [
"MIT"
] | null | null | null | rainy_project/notice/urls.py | habijung/WEB_HeavyReading_Rainy | 58b7429e88931175ddceab2c280161a267149a15 | [
"MIT"
] | 2 | 2020-11-17T09:37:24.000Z | 2021-10-04T05:59:02.000Z | from django.urls import path
from . import views
urlpatterns = [
path('', views.notice, name='notice'),
path('detail/<int:notice_id>', views.detail_notice, name='detail_notice'),
] | 23.75 | 78 | 0.694737 | 25 | 190 | 5.16 | 0.48 | 0.155039 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142105 | 190 | 8 | 79 | 23.75 | 0.791411 | 0 | 0 | 0 | 0 | 0 | 0.21466 | 0.115183 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
70b6ee7c44d84dc0e2ad503956cbc4f81cb481a7 | 10,460 | py | Python | swagger_client/mercury/client/model/option_contract.py | kovacicek/fiddleoptions | 43e3517046fb4c47d3284d357e75099e81f861b7 | [
"MIT"
] | null | null | null | swagger_client/mercury/client/model/option_contract.py | kovacicek/fiddleoptions | 43e3517046fb4c47d3284d357e75099e81f861b7 | [
"MIT"
] | null | null | null | swagger_client/mercury/client/model/option_contract.py | kovacicek/fiddleoptions | 43e3517046fb4c47d3284d357e75099e81f861b7 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Fiddle Options Platform
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class OptionContract(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'strike': 'float',
'bid': 'float',
'ask': 'float',
'volume': 'int',
'open_interest': 'int',
'delta': 'float',
'gamma': 'float',
'vega': 'float',
'theta': 'float',
'rho': 'float',
'expiration_date': 'date',
'call': 'bool',
'mid': 'float'
}
attribute_map = {
'strike': 'strike',
'bid': 'bid',
'ask': 'ask',
'volume': 'volume',
'open_interest': 'openInterest',
'delta': 'delta',
'gamma': 'gamma',
'vega': 'vega',
'theta': 'theta',
'rho': 'rho',
'expiration_date': 'expirationDate',
'call': 'call',
'mid': 'mid'
}
def __init__(self, strike=None, bid=None, ask=None, volume=None, open_interest=None, delta=None, gamma=None, vega=None, theta=None, rho=None, expiration_date=None, call=None, mid=None): # noqa: E501
"""OptionContract - a model defined in Swagger""" # noqa: E501
self._strike = None
self._bid = None
self._ask = None
self._volume = None
self._open_interest = None
self._delta = None
self._gamma = None
self._vega = None
self._theta = None
self._rho = None
self._expiration_date = None
self._call = None
self._mid = None
self.discriminator = None
if strike is not None:
self.strike = strike
if bid is not None:
self.bid = bid
if ask is not None:
self.ask = ask
if volume is not None:
self.volume = volume
if open_interest is not None:
self.open_interest = open_interest
if delta is not None:
self.delta = delta
if gamma is not None:
self.gamma = gamma
if vega is not None:
self.vega = vega
if theta is not None:
self.theta = theta
if rho is not None:
self.rho = rho
if expiration_date is not None:
self.expiration_date = expiration_date
if call is not None:
self.call = call
if mid is not None:
self.mid = mid
@property
def strike(self):
"""Gets the strike of this OptionContract. # noqa: E501
:return: The strike of this OptionContract. # noqa: E501
:rtype: float
"""
return self._strike
@strike.setter
def strike(self, strike):
"""Sets the strike of this OptionContract.
:param strike: The strike of this OptionContract. # noqa: E501
:type: float
"""
self._strike = strike
@property
def bid(self):
"""Gets the bid of this OptionContract. # noqa: E501
:return: The bid of this OptionContract. # noqa: E501
:rtype: float
"""
return self._bid
@bid.setter
def bid(self, bid):
"""Sets the bid of this OptionContract.
:param bid: The bid of this OptionContract. # noqa: E501
:type: float
"""
self._bid = bid
@property
def ask(self):
"""Gets the ask of this OptionContract. # noqa: E501
:return: The ask of this OptionContract. # noqa: E501
:rtype: float
"""
return self._ask
@ask.setter
def ask(self, ask):
"""Sets the ask of this OptionContract.
:param ask: The ask of this OptionContract. # noqa: E501
:type: float
"""
self._ask = ask
@property
def volume(self):
"""Gets the volume of this OptionContract. # noqa: E501
:return: The volume of this OptionContract. # noqa: E501
:rtype: int
"""
return self._volume
@volume.setter
def volume(self, volume):
"""Sets the volume of this OptionContract.
:param volume: The volume of this OptionContract. # noqa: E501
:type: int
"""
self._volume = volume
@property
def open_interest(self):
"""Gets the open_interest of this OptionContract. # noqa: E501
:return: The open_interest of this OptionContract. # noqa: E501
:rtype: int
"""
return self._open_interest
@open_interest.setter
def open_interest(self, open_interest):
"""Sets the open_interest of this OptionContract.
:param open_interest: The open_interest of this OptionContract. # noqa: E501
:type: int
"""
self._open_interest = open_interest
@property
def delta(self):
"""Gets the delta of this OptionContract. # noqa: E501
:return: The delta of this OptionContract. # noqa: E501
:rtype: float
"""
return self._delta
@delta.setter
def delta(self, delta):
"""Sets the delta of this OptionContract.
:param delta: The delta of this OptionContract. # noqa: E501
:type: float
"""
self._delta = delta
@property
def gamma(self):
"""Gets the gamma of this OptionContract. # noqa: E501
:return: The gamma of this OptionContract. # noqa: E501
:rtype: float
"""
return self._gamma
@gamma.setter
def gamma(self, gamma):
"""Sets the gamma of this OptionContract.
:param gamma: The gamma of this OptionContract. # noqa: E501
:type: float
"""
self._gamma = gamma
@property
def vega(self):
"""Gets the vega of this OptionContract. # noqa: E501
:return: The vega of this OptionContract. # noqa: E501
:rtype: float
"""
return self._vega
@vega.setter
def vega(self, vega):
"""Sets the vega of this OptionContract.
:param vega: The vega of this OptionContract. # noqa: E501
:type: float
"""
self._vega = vega
@property
def theta(self):
"""Gets the theta of this OptionContract. # noqa: E501
:return: The theta of this OptionContract. # noqa: E501
:rtype: float
"""
return self._theta
@theta.setter
def theta(self, theta):
"""Sets the theta of this OptionContract.
:param theta: The theta of this OptionContract. # noqa: E501
:type: float
"""
self._theta = theta
@property
def rho(self):
"""Gets the rho of this OptionContract. # noqa: E501
:return: The rho of this OptionContract. # noqa: E501
:rtype: float
"""
return self._rho
@rho.setter
def rho(self, rho):
"""Sets the rho of this OptionContract.
:param rho: The rho of this OptionContract. # noqa: E501
:type: float
"""
self._rho = rho
@property
def expiration_date(self):
"""Gets the expiration_date of this OptionContract. # noqa: E501
:return: The expiration_date of this OptionContract. # noqa: E501
:rtype: date
"""
return self._expiration_date
@expiration_date.setter
def expiration_date(self, expiration_date):
"""Sets the expiration_date of this OptionContract.
:param expiration_date: The expiration_date of this OptionContract. # noqa: E501
:type: date
"""
self._expiration_date = expiration_date
@property
def call(self):
"""Gets the call of this OptionContract. # noqa: E501
:return: The call of this OptionContract. # noqa: E501
:rtype: bool
"""
return self._call
@call.setter
def call(self, call):
"""Sets the call of this OptionContract.
:param call: The call of this OptionContract. # noqa: E501
:type: bool
"""
self._call = call
@property
def mid(self):
"""Gets the mid of this OptionContract. # noqa: E501
:return: The mid of this OptionContract. # noqa: E501
:rtype: float
"""
return self._mid
@mid.setter
def mid(self, mid):
"""Sets the mid of this OptionContract.
:param mid: The mid of this OptionContract. # noqa: E501
:type: float
"""
self._mid = mid
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, OptionContract):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| 24.611765 | 203 | 0.552964 | 1,193 | 10,460 | 4.75021 | 0.107293 | 0.055056 | 0.183519 | 0.165167 | 0.46709 | 0.383801 | 0.36792 | 0.234163 | 0.105876 | 0.013411 | 0 | 0.01978 | 0.347514 | 10,460 | 424 | 204 | 24.669811 | 0.810549 | 0.364149 | 0 | 0.081967 | 1 | 0 | 0.054782 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.174863 | false | 0 | 0.016393 | 0 | 0.311475 | 0.010929 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
70d0c6b4dd7468bb0dd3ef82f9a48b9c5d2fff7f | 878 | py | Python | python/dxa/__init__.py | portfolioscout/py4fi | 9a65df340189ed52037456da221bf66fe89e787f | [
"CNRI-Python"
] | 15 | 2018-07-10T09:18:23.000Z | 2021-12-30T06:35:09.000Z | python3/dxa/__init__.py | ioancw/py4fi | bbf7b41d375e4f7b0344bc9b1e97d7910ad1e6ec | [
"CNRI-Python"
] | 2 | 2020-10-27T19:44:15.000Z | 2020-11-03T23:55:36.000Z | python3/dxa/__init__.py | ioancw/py4fi | bbf7b41d375e4f7b0344bc9b1e97d7910ad1e6ec | [
"CNRI-Python"
] | 13 | 2018-01-08T01:10:22.000Z | 2021-05-26T17:35:35.000Z | #
# DX Library
# packaging file
# __init__.py
#
import numpy as np
import pandas as pd
import datetime as dt
# frame
from get_year_deltas import get_year_deltas
from constant_short_rate import constant_short_rate
from market_environment import market_environment
from plot_option_stats import plot_option_stats
# simulation
from sn_random_numbers import sn_random_numbers
from simulation_class import simulation_class
from geometric_brownian_motion import geometric_brownian_motion
from jump_diffusion import jump_diffusion
from square_root_diffusion import square_root_diffusion
# valuation
from valuation_class import valuation_class
from valuation_mcs_european import valuation_mcs_european
from valuation_mcs_american import valuation_mcs_american
# portfolio
from derivatives_position import derivatives_position
from derivatives_portfolio import derivatives_portfolio
| 28.322581 | 63 | 0.886105 | 122 | 878 | 5.983607 | 0.377049 | 0.065753 | 0.035616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102506 | 878 | 30 | 64 | 29.266667 | 0.926396 | 0.084282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
70db9d36a6757c4b90d7e4f497b3a15959df0ed3 | 126 | py | Python | test.py | qiulongquan/web_server | a9abd49d4f50ecd8045eec7c55e01051ad321c84 | [
"CC-BY-3.0"
] | 1 | 2019-04-05T09:30:37.000Z | 2019-04-05T09:30:37.000Z | test.py | qiulongquan/web_server | a9abd49d4f50ecd8045eec7c55e01051ad321c84 | [
"CC-BY-3.0"
] | null | null | null | test.py | qiulongquan/web_server | a9abd49d4f50ecd8045eec7c55e01051ad321c84 | [
"CC-BY-3.0"
] | null | null | null | import subprocess as sp
import os
sp.call('python run.py', shell = True)
path=os.path.join('c://', 'index.html')
print(path) | 18 | 39 | 0.690476 | 22 | 126 | 3.954545 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119048 | 126 | 7 | 40 | 18 | 0.783784 | 0 | 0 | 0 | 0 | 0 | 0.212598 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
70edc10b32a6ebec0ae5ce52dfd34f6808f439f6 | 85,847 | py | Python | tensorflow_checkpoint_reader/pb/tensorflow/core/protobuf/worker_pb2.py | shawwn/tensorflow-checkpoint-reader | f0e65548411e3bd66a07e36bb1850907a05952d0 | [
"MIT"
] | 1 | 2021-12-02T15:06:09.000Z | 2021-12-02T15:06:09.000Z | tensorflow_checkpoint_reader/pb/tensorflow/core/protobuf/worker_pb2.py | shawwn/tensorflow-checkpoint-reader | f0e65548411e3bd66a07e36bb1850907a05952d0 | [
"MIT"
] | null | null | null | tensorflow_checkpoint_reader/pb/tensorflow/core/protobuf/worker_pb2.py | shawwn/tensorflow-checkpoint-reader | f0e65548411e3bd66a07e36bb1850907a05952d0 | [
"MIT"
] | null | null | null |
'Generated protocol buffer code.'
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
_sym_db = _symbol_database.Default()
from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2
from ....tensorflow.core.framework import cost_graph_pb2 as tensorflow_dot_core_dot_framework_dot_cost__graph__pb2
from ....tensorflow.core.framework import device_attributes_pb2 as tensorflow_dot_core_dot_framework_dot_device__attributes__pb2
from ....tensorflow.core.framework import graph_pb2 as tensorflow_dot_core_dot_framework_dot_graph__pb2
from ....tensorflow.core.framework import step_stats_pb2 as tensorflow_dot_core_dot_framework_dot_step__stats__pb2
from ....tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2
from ....tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2
from ....tensorflow.core.framework import types_pb2 as tensorflow_dot_core_dot_framework_dot_types__pb2
from ....tensorflow.core.protobuf import config_pb2 as tensorflow_dot_core_dot_protobuf_dot_config__pb2
from ....tensorflow.core.protobuf import debug_pb2 as tensorflow_dot_core_dot_protobuf_dot_debug__pb2
from ....tensorflow.core.protobuf import error_codes_pb2 as tensorflow_dot_core_dot_protobuf_dot_error__codes__pb2
from ....tensorflow.core.protobuf import named_tensor_pb2 as tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2
from ....tensorflow.core.protobuf import tensorflow_server_pb2 as tensorflow_dot_core_dot_protobuf_dot_tensorflow__server__pb2
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dependencies=[google_dot_protobuf_dot_any__pb2.DESCRIPTOR, tensorflow_dot_core_dot_framework_dot_cost__graph__pb2.DESCRIPTOR, tensorflow_dot_core_dot_framework_dot_device__attributes__pb2.DESCRIPTOR, tensorflow_dot_core_dot_framework_dot_graph__pb2.DESCRIPTOR, tensorflow_dot_core_dot_framework_dot_step__stats__pb2.DESCRIPTOR, tensorflow_dot_core_dot_framework_dot_tensor__pb2.DESCRIPTOR, tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2.DESCRIPTOR, tensorflow_dot_core_dot_framework_dot_types__pb2.DESCRIPTOR, tensorflow_dot_core_dot_protobuf_dot_config__pb2.DESCRIPTOR, tensorflow_dot_core_dot_protobuf_dot_debug__pb2.DESCRIPTOR, tensorflow_dot_core_dot_protobuf_dot_error__codes__pb2.DESCRIPTOR, tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2.DESCRIPTOR, tensorflow_dot_core_dot_protobuf_dot_tensorflow__server__pb2.DESCRIPTOR])
_GETSTATUSREQUEST = _descriptor.Descriptor(name='GetStatusRequest', full_name='tensorflow.GetStatusRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=599, serialized_end=617)
_GETSTATUSRESPONSE = _descriptor.Descriptor(name='GetStatusResponse', full_name='tensorflow.GetStatusResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='device_attributes', full_name='tensorflow.GetStatusResponse.device_attributes', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=619, serialized_end=695)
_CREATEWORKERSESSIONREQUEST = _descriptor.Descriptor(name='CreateWorkerSessionRequest', full_name='tensorflow.CreateWorkerSessionRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='session_handle', full_name='tensorflow.CreateWorkerSessionRequest.session_handle', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='server_def', full_name='tensorflow.CreateWorkerSessionRequest.server_def', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='isolate_session_state', full_name='tensorflow.CreateWorkerSessionRequest.isolate_session_state', index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='cluster_device_attributes', full_name='tensorflow.CreateWorkerSessionRequest.cluster_device_attributes', index=3, number=4, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='master_task', full_name='tensorflow.CreateWorkerSessionRequest.master_task', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='master_incarnation', full_name='tensorflow.CreateWorkerSessionRequest.master_incarnation', index=5, number=6, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=698, serialized_end=938)
_CREATEWORKERSESSIONRESPONSE = _descriptor.Descriptor(name='CreateWorkerSessionResponse', full_name='tensorflow.CreateWorkerSessionResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=940, serialized_end=969)
_DELETEWORKERSESSIONREQUEST = _descriptor.Descriptor(name='DeleteWorkerSessionRequest', full_name='tensorflow.DeleteWorkerSessionRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='session_handle', full_name='tensorflow.DeleteWorkerSessionRequest.session_handle', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=971, serialized_end=1023)
_DELETEWORKERSESSIONRESPONSE = _descriptor.Descriptor(name='DeleteWorkerSessionResponse', full_name='tensorflow.DeleteWorkerSessionResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1025, serialized_end=1054)
_REGISTERGRAPHREQUEST = _descriptor.Descriptor(name='RegisterGraphRequest', full_name='tensorflow.RegisterGraphRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='session_handle', full_name='tensorflow.RegisterGraphRequest.session_handle', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='create_worker_session_called', full_name='tensorflow.RegisterGraphRequest.create_worker_session_called', index=1, number=6, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='graph_def', full_name='tensorflow.RegisterGraphRequest.graph_def', index=2, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='has_control_flow', full_name='tensorflow.RegisterGraphRequest.has_control_flow', index=3, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=b'\x18\x01', file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='graph_options', full_name='tensorflow.RegisterGraphRequest.graph_options', index=4, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='debug_options', full_name='tensorflow.RegisterGraphRequest.debug_options', index=5, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='collective_graph_key', full_name='tensorflow.RegisterGraphRequest.collective_graph_key', index=6, number=7, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='config_proto', full_name='tensorflow.RegisterGraphRequest.config_proto', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1057, serialized_end=1387)
_REGISTERGRAPHRESPONSE = _descriptor.Descriptor(name='RegisterGraphResponse', full_name='tensorflow.RegisterGraphResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='graph_handle', full_name='tensorflow.RegisterGraphResponse.graph_handle', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1389, serialized_end=1434)
_DEREGISTERGRAPHREQUEST = _descriptor.Descriptor(name='DeregisterGraphRequest', full_name='tensorflow.DeregisterGraphRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='session_handle', full_name='tensorflow.DeregisterGraphRequest.session_handle', index=0, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='create_worker_session_called', full_name='tensorflow.DeregisterGraphRequest.create_worker_session_called', index=1, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='graph_handle', full_name='tensorflow.DeregisterGraphRequest.graph_handle', index=2, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1436, serialized_end=1544)
_DEREGISTERGRAPHRESPONSE = _descriptor.Descriptor(name='DeregisterGraphResponse', full_name='tensorflow.DeregisterGraphResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1546, serialized_end=1571)
_CLEANUPALLREQUEST = _descriptor.Descriptor(name='CleanupAllRequest', full_name='tensorflow.CleanupAllRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='container', full_name='tensorflow.CleanupAllRequest.container', index=0, number=1, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1573, serialized_end=1611)
_CLEANUPALLRESPONSE = _descriptor.Descriptor(name='CleanupAllResponse', full_name='tensorflow.CleanupAllResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1613, serialized_end=1633)
_EXECUTOROPTS = _descriptor.Descriptor(name='ExecutorOpts', full_name='tensorflow.ExecutorOpts', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='record_costs', full_name='tensorflow.ExecutorOpts.record_costs', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='record_timeline', full_name='tensorflow.ExecutorOpts.record_timeline', index=1, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='record_partition_graphs', full_name='tensorflow.ExecutorOpts.record_partition_graphs', index=2, number=4, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='report_tensor_allocations_upon_oom', full_name='tensorflow.ExecutorOpts.report_tensor_allocations_upon_oom', index=3, number=5, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1636, serialized_end=1774)
_RUNGRAPHREQUEST = _descriptor.Descriptor(name='RunGraphRequest', full_name='tensorflow.RunGraphRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='session_handle', full_name='tensorflow.RunGraphRequest.session_handle', index=0, number=8, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='create_worker_session_called', full_name='tensorflow.RunGraphRequest.create_worker_session_called', index=1, number=10, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='graph_handle', full_name='tensorflow.RunGraphRequest.graph_handle', index=2, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='step_id', full_name='tensorflow.RunGraphRequest.step_id', index=3, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='exec_opts', full_name='tensorflow.RunGraphRequest.exec_opts', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='send', full_name='tensorflow.RunGraphRequest.send', index=5, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='recv_key', full_name='tensorflow.RunGraphRequest.recv_key', index=6, number=4, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='is_partial', full_name='tensorflow.RunGraphRequest.is_partial', index=7, number=6, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='is_last_partial_run', full_name='tensorflow.RunGraphRequest.is_last_partial_run', index=8, number=7, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='store_errors_in_response_body', full_name='tensorflow.RunGraphRequest.store_errors_in_response_body', index=9, number=9, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='request_id', full_name='tensorflow.RunGraphRequest.request_id', index=10, number=11, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=1777, serialized_end=2110)
_RUNGRAPHRESPONSE = _descriptor.Descriptor(name='RunGraphResponse', full_name='tensorflow.RunGraphResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='recv', full_name='tensorflow.RunGraphResponse.recv', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='step_stats', full_name='tensorflow.RunGraphResponse.step_stats', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='cost_graph', full_name='tensorflow.RunGraphResponse.cost_graph', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='partition_graph', full_name='tensorflow.RunGraphResponse.partition_graph', index=3, number=4, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='status_code', full_name='tensorflow.RunGraphResponse.status_code', index=4, number=5, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='status_error_message', full_name='tensorflow.RunGraphResponse.status_error_message', index=5, number=6, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=2113, serialized_end=2386)
_CLEANUPGRAPHREQUEST = _descriptor.Descriptor(name='CleanupGraphRequest', full_name='tensorflow.CleanupGraphRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='step_id', full_name='tensorflow.CleanupGraphRequest.step_id', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=2388, serialized_end=2426)
_CLEANUPGRAPHRESPONSE = _descriptor.Descriptor(name='CleanupGraphResponse', full_name='tensorflow.CleanupGraphResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=2428, serialized_end=2450)
_RECVTENSORREQUEST = _descriptor.Descriptor(name='RecvTensorRequest', full_name='tensorflow.RecvTensorRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='step_id', full_name='tensorflow.RecvTensorRequest.step_id', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='rendezvous_key', full_name='tensorflow.RecvTensorRequest.rendezvous_key', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='dma_ok', full_name='tensorflow.RecvTensorRequest.dma_ok', index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='client_locality', full_name='tensorflow.RecvTensorRequest.client_locality', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='server_locality', full_name='tensorflow.RecvTensorRequest.server_locality', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='transport_options', full_name='tensorflow.RecvTensorRequest.transport_options', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='request_id', full_name='tensorflow.RecvTensorRequest.request_id', index=6, number=7, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=2453, serialized_end=2704)
_RECVTENSORRESPONSE = _descriptor.Descriptor(name='RecvTensorResponse', full_name='tensorflow.RecvTensorResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='tensor', full_name='tensorflow.RecvTensorResponse.tensor', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='is_dead', full_name='tensorflow.RecvTensorResponse.is_dead', index=1, number=2, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='send_start_micros', full_name='tensorflow.RecvTensorResponse.send_start_micros', index=2, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='transport_options', full_name='tensorflow.RecvTensorResponse.transport_options', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='require_ack', full_name='tensorflow.RecvTensorResponse.require_ack', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=2707, serialized_end=2882)
_MARKRECVFINISHEDREQUEST = _descriptor.Descriptor(name='MarkRecvFinishedRequest', full_name='tensorflow.MarkRecvFinishedRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='request_id', full_name='tensorflow.MarkRecvFinishedRequest.request_id', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=2884, serialized_end=2929)
_MARKRECVFINISHEDRESPONSE = _descriptor.Descriptor(name='MarkRecvFinishedResponse', full_name='tensorflow.MarkRecvFinishedResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=2931, serialized_end=2957)
_LOGGINGREQUEST = _descriptor.Descriptor(name='LoggingRequest', full_name='tensorflow.LoggingRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='enable_rpc_logging', full_name='tensorflow.LoggingRequest.enable_rpc_logging', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='disable_rpc_logging', full_name='tensorflow.LoggingRequest.disable_rpc_logging', index=1, number=4, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='clear', full_name='tensorflow.LoggingRequest.clear', index=2, number=2, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='fetch_step_id', full_name='tensorflow.LoggingRequest.fetch_step_id', index=3, number=3, type=3, cpp_type=2, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=2959, serialized_end=3070)
_LABELEDSTEPSTATS = _descriptor.Descriptor(name='LabeledStepStats', full_name='tensorflow.LabeledStepStats', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='step_id', full_name='tensorflow.LabeledStepStats.step_id', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='step_stats', full_name='tensorflow.LabeledStepStats.step_stats', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=3072, serialized_end=3150)
_LOGGINGRESPONSE = _descriptor.Descriptor(name='LoggingResponse', full_name='tensorflow.LoggingResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='step', full_name='tensorflow.LoggingResponse.step', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=3152, serialized_end=3213)
_TRACEOPTS = _descriptor.Descriptor(name='TraceOpts', full_name='tensorflow.TraceOpts', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='duration', full_name='tensorflow.TraceOpts.duration', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='use_step_profiler', full_name='tensorflow.TraceOpts.use_step_profiler', index=1, number=2, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='use_kernel_profiler', full_name='tensorflow.TraceOpts.use_kernel_profiler', index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='use_extended_profiler', full_name='tensorflow.TraceOpts.use_extended_profiler', index=3, number=4, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='use_gpu_profiler', full_name='tensorflow.TraceOpts.use_gpu_profiler', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='use_sample_profiler', full_name='tensorflow.TraceOpts.use_sample_profiler', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=3216, serialized_end=3387)
_TRACINGREQUEST = _descriptor.Descriptor(name='TracingRequest', full_name='tensorflow.TracingRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='options', full_name='tensorflow.TracingRequest.options', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=3389, serialized_end=3445)
_TRACINGRESPONSE = _descriptor.Descriptor(name='TracingResponse', full_name='tensorflow.TracingResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=3447, serialized_end=3464)
_RECVBUFREQUEST = _descriptor.Descriptor(name='RecvBufRequest', full_name='tensorflow.RecvBufRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='step_id', full_name='tensorflow.RecvBufRequest.step_id', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='buf_rendezvous_key', full_name='tensorflow.RecvBufRequest.buf_rendezvous_key', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='num_bytes', full_name='tensorflow.RecvBufRequest.num_bytes', index=2, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='buf_ptr', full_name='tensorflow.RecvBufRequest.buf_ptr', index=3, number=4, type=6, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='client_locality', full_name='tensorflow.RecvBufRequest.client_locality', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='server_locality', full_name='tensorflow.RecvBufRequest.server_locality', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='transport_options', full_name='tensorflow.RecvBufRequest.transport_options', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='src_device', full_name='tensorflow.RecvBufRequest.src_device', index=7, number=8, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='dst_device', full_name='tensorflow.RecvBufRequest.dst_device', index=8, number=9, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='request_id', full_name='tensorflow.RecvBufRequest.request_id', index=9, number=10, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='src_incarnation', full_name='tensorflow.RecvBufRequest.src_incarnation', index=10, number=11, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=3467, serialized_end=3804)
_RECVBUFRESPONSE = _descriptor.Descriptor(name='RecvBufResponse', full_name='tensorflow.RecvBufResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='buf_ptr', full_name='tensorflow.RecvBufResponse.buf_ptr', index=0, number=1, type=6, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='num_bytes', full_name='tensorflow.RecvBufResponse.num_bytes', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='is_dead', full_name='tensorflow.RecvBufResponse.is_dead', index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='transport_options', full_name='tensorflow.RecvBufResponse.transport_options', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='send_start_micros', full_name='tensorflow.RecvBufResponse.send_start_micros', index=4, number=5, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='require_ack', full_name='tensorflow.RecvBufResponse.require_ack', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=3807, serialized_end=3974)
_COMPLETEGROUPREQUEST = _descriptor.Descriptor(name='CompleteGroupRequest', full_name='tensorflow.CompleteGroupRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='group_key', full_name='tensorflow.CompleteGroupRequest.group_key', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='group_size', full_name='tensorflow.CompleteGroupRequest.group_size', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='device_type', full_name='tensorflow.CompleteGroupRequest.device_type', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='collective_type', full_name='tensorflow.CompleteGroupRequest.collective_type', index=3, number=5, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='device_attributes', full_name='tensorflow.CompleteGroupRequest.device_attributes', index=4, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=3977, serialized_end=4147)
_COMPLETEGROUPRESPONSE = _descriptor.Descriptor(name='CompleteGroupResponse', full_name='tensorflow.CompleteGroupResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='group_key', full_name='tensorflow.CompleteGroupResponse.group_key', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='group_size', full_name='tensorflow.CompleteGroupResponse.group_size', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='device_type', full_name='tensorflow.CompleteGroupResponse.device_type', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='num_tasks', full_name='tensorflow.CompleteGroupResponse.num_tasks', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='communicator_key', full_name='tensorflow.CompleteGroupResponse.communicator_key', index=4, number=7, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b'', message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='device_attributes', full_name='tensorflow.CompleteGroupResponse.device_attributes', index=5, number=8, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=4150, serialized_end=4347)
_COMPLETEINSTANCEREQUEST = _descriptor.Descriptor(name='CompleteInstanceRequest', full_name='tensorflow.CompleteInstanceRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='name', full_name='tensorflow.CompleteInstanceRequest.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='type', full_name='tensorflow.CompleteInstanceRequest.type', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='data_type', full_name='tensorflow.CompleteInstanceRequest.data_type', index=2, number=3, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='shape', full_name='tensorflow.CompleteInstanceRequest.shape', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='group_key', full_name='tensorflow.CompleteInstanceRequest.group_key', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='group_size', full_name='tensorflow.CompleteInstanceRequest.group_size', index=5, number=6, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='instance_key', full_name='tensorflow.CompleteInstanceRequest.instance_key', index=6, number=7, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='device_type', full_name='tensorflow.CompleteInstanceRequest.device_type', index=7, number=8, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='subdiv_offset', full_name='tensorflow.CompleteInstanceRequest.subdiv_offset', index=8, number=9, type=5, cpp_type=1, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='device', full_name='tensorflow.CompleteInstanceRequest.device', index=9, number=10, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='is_source', full_name='tensorflow.CompleteInstanceRequest.is_source', index=10, number=11, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=4350, serialized_end=4629)
_COMPLETEINSTANCERESPONSE = _descriptor.Descriptor(name='CompleteInstanceResponse', full_name='tensorflow.CompleteInstanceResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='instance_key', full_name='tensorflow.CompleteInstanceResponse.instance_key', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='source_rank', full_name='tensorflow.CompleteInstanceResponse.source_rank', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=4631, serialized_end=4706)
_GETSTEPSEQUENCEREQUEST = _descriptor.Descriptor(name='GetStepSequenceRequest', full_name='tensorflow.GetStepSequenceRequest', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='graph_key', full_name='tensorflow.GetStepSequenceRequest.graph_key', index=0, number=1, type=3, cpp_type=2, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=4708, serialized_end=4751)
_STEPSEQUENCE = _descriptor.Descriptor(name='StepSequence', full_name='tensorflow.StepSequence', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='graph_key', full_name='tensorflow.StepSequence.graph_key', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='next_step_id', full_name='tensorflow.StepSequence.next_step_id', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=4753, serialized_end=4808)
_GETSTEPSEQUENCERESPONSE = _descriptor.Descriptor(name='GetStepSequenceResponse', full_name='tensorflow.GetStepSequenceResponse', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='step_sequence', full_name='tensorflow.GetStepSequenceResponse.step_sequence', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=4810, serialized_end=4884)
_GETSTATUSRESPONSE.fields_by_name['device_attributes'].message_type = tensorflow_dot_core_dot_framework_dot_device__attributes__pb2._DEVICEATTRIBUTES
_CREATEWORKERSESSIONREQUEST.fields_by_name['server_def'].message_type = tensorflow_dot_core_dot_protobuf_dot_tensorflow__server__pb2._SERVERDEF
_CREATEWORKERSESSIONREQUEST.fields_by_name['cluster_device_attributes'].message_type = tensorflow_dot_core_dot_framework_dot_device__attributes__pb2._DEVICEATTRIBUTES
_REGISTERGRAPHREQUEST.fields_by_name['graph_def'].message_type = tensorflow_dot_core_dot_framework_dot_graph__pb2._GRAPHDEF
_REGISTERGRAPHREQUEST.fields_by_name['graph_options'].message_type = tensorflow_dot_core_dot_protobuf_dot_config__pb2._GRAPHOPTIONS
_REGISTERGRAPHREQUEST.fields_by_name['debug_options'].message_type = tensorflow_dot_core_dot_protobuf_dot_debug__pb2._DEBUGOPTIONS
_REGISTERGRAPHREQUEST.fields_by_name['config_proto'].message_type = tensorflow_dot_core_dot_protobuf_dot_config__pb2._CONFIGPROTO
_RUNGRAPHREQUEST.fields_by_name['exec_opts'].message_type = _EXECUTOROPTS
_RUNGRAPHREQUEST.fields_by_name['send'].message_type = tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2._NAMEDTENSORPROTO
_RUNGRAPHRESPONSE.fields_by_name['recv'].message_type = tensorflow_dot_core_dot_protobuf_dot_named__tensor__pb2._NAMEDTENSORPROTO
_RUNGRAPHRESPONSE.fields_by_name['step_stats'].message_type = tensorflow_dot_core_dot_framework_dot_step__stats__pb2._STEPSTATS
_RUNGRAPHRESPONSE.fields_by_name['cost_graph'].message_type = tensorflow_dot_core_dot_framework_dot_cost__graph__pb2._COSTGRAPHDEF
_RUNGRAPHRESPONSE.fields_by_name['partition_graph'].message_type = tensorflow_dot_core_dot_framework_dot_graph__pb2._GRAPHDEF
_RUNGRAPHRESPONSE.fields_by_name['status_code'].enum_type = tensorflow_dot_core_dot_protobuf_dot_error__codes__pb2._CODE
_RECVTENSORREQUEST.fields_by_name['client_locality'].message_type = tensorflow_dot_core_dot_framework_dot_device__attributes__pb2._DEVICELOCALITY
_RECVTENSORREQUEST.fields_by_name['server_locality'].message_type = tensorflow_dot_core_dot_framework_dot_device__attributes__pb2._DEVICELOCALITY
_RECVTENSORREQUEST.fields_by_name['transport_options'].message_type = google_dot_protobuf_dot_any__pb2._ANY
_RECVTENSORRESPONSE.fields_by_name['tensor'].message_type = tensorflow_dot_core_dot_framework_dot_tensor__pb2._TENSORPROTO
_RECVTENSORRESPONSE.fields_by_name['transport_options'].message_type = google_dot_protobuf_dot_any__pb2._ANY
_LABELEDSTEPSTATS.fields_by_name['step_stats'].message_type = tensorflow_dot_core_dot_framework_dot_step__stats__pb2._STEPSTATS
_LOGGINGRESPONSE.fields_by_name['step'].message_type = _LABELEDSTEPSTATS
_TRACINGREQUEST.fields_by_name['options'].message_type = _TRACEOPTS
_RECVBUFREQUEST.fields_by_name['client_locality'].message_type = tensorflow_dot_core_dot_framework_dot_device__attributes__pb2._DEVICELOCALITY
_RECVBUFREQUEST.fields_by_name['server_locality'].message_type = tensorflow_dot_core_dot_framework_dot_device__attributes__pb2._DEVICELOCALITY
_RECVBUFREQUEST.fields_by_name['transport_options'].message_type = google_dot_protobuf_dot_any__pb2._ANY
_RECVBUFRESPONSE.fields_by_name['transport_options'].message_type = google_dot_protobuf_dot_any__pb2._ANY
_COMPLETEGROUPREQUEST.fields_by_name['device_attributes'].message_type = tensorflow_dot_core_dot_framework_dot_device__attributes__pb2._DEVICEATTRIBUTES
_COMPLETEGROUPRESPONSE.fields_by_name['device_attributes'].message_type = tensorflow_dot_core_dot_framework_dot_device__attributes__pb2._DEVICEATTRIBUTES
_COMPLETEINSTANCEREQUEST.fields_by_name['data_type'].enum_type = tensorflow_dot_core_dot_framework_dot_types__pb2._DATATYPE
_COMPLETEINSTANCEREQUEST.fields_by_name['shape'].message_type = tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2._TENSORSHAPEPROTO
_GETSTEPSEQUENCERESPONSE.fields_by_name['step_sequence'].message_type = _STEPSEQUENCE
DESCRIPTOR.message_types_by_name['GetStatusRequest'] = _GETSTATUSREQUEST
DESCRIPTOR.message_types_by_name['GetStatusResponse'] = _GETSTATUSRESPONSE
DESCRIPTOR.message_types_by_name['CreateWorkerSessionRequest'] = _CREATEWORKERSESSIONREQUEST
DESCRIPTOR.message_types_by_name['CreateWorkerSessionResponse'] = _CREATEWORKERSESSIONRESPONSE
DESCRIPTOR.message_types_by_name['DeleteWorkerSessionRequest'] = _DELETEWORKERSESSIONREQUEST
DESCRIPTOR.message_types_by_name['DeleteWorkerSessionResponse'] = _DELETEWORKERSESSIONRESPONSE
DESCRIPTOR.message_types_by_name['RegisterGraphRequest'] = _REGISTERGRAPHREQUEST
DESCRIPTOR.message_types_by_name['RegisterGraphResponse'] = _REGISTERGRAPHRESPONSE
DESCRIPTOR.message_types_by_name['DeregisterGraphRequest'] = _DEREGISTERGRAPHREQUEST
DESCRIPTOR.message_types_by_name['DeregisterGraphResponse'] = _DEREGISTERGRAPHRESPONSE
DESCRIPTOR.message_types_by_name['CleanupAllRequest'] = _CLEANUPALLREQUEST
DESCRIPTOR.message_types_by_name['CleanupAllResponse'] = _CLEANUPALLRESPONSE
DESCRIPTOR.message_types_by_name['ExecutorOpts'] = _EXECUTOROPTS
DESCRIPTOR.message_types_by_name['RunGraphRequest'] = _RUNGRAPHREQUEST
DESCRIPTOR.message_types_by_name['RunGraphResponse'] = _RUNGRAPHRESPONSE
DESCRIPTOR.message_types_by_name['CleanupGraphRequest'] = _CLEANUPGRAPHREQUEST
DESCRIPTOR.message_types_by_name['CleanupGraphResponse'] = _CLEANUPGRAPHRESPONSE
DESCRIPTOR.message_types_by_name['RecvTensorRequest'] = _RECVTENSORREQUEST
DESCRIPTOR.message_types_by_name['RecvTensorResponse'] = _RECVTENSORRESPONSE
DESCRIPTOR.message_types_by_name['MarkRecvFinishedRequest'] = _MARKRECVFINISHEDREQUEST
DESCRIPTOR.message_types_by_name['MarkRecvFinishedResponse'] = _MARKRECVFINISHEDRESPONSE
DESCRIPTOR.message_types_by_name['LoggingRequest'] = _LOGGINGREQUEST
DESCRIPTOR.message_types_by_name['LabeledStepStats'] = _LABELEDSTEPSTATS
DESCRIPTOR.message_types_by_name['LoggingResponse'] = _LOGGINGRESPONSE
DESCRIPTOR.message_types_by_name['TraceOpts'] = _TRACEOPTS
DESCRIPTOR.message_types_by_name['TracingRequest'] = _TRACINGREQUEST
DESCRIPTOR.message_types_by_name['TracingResponse'] = _TRACINGRESPONSE
DESCRIPTOR.message_types_by_name['RecvBufRequest'] = _RECVBUFREQUEST
DESCRIPTOR.message_types_by_name['RecvBufResponse'] = _RECVBUFRESPONSE
DESCRIPTOR.message_types_by_name['CompleteGroupRequest'] = _COMPLETEGROUPREQUEST
DESCRIPTOR.message_types_by_name['CompleteGroupResponse'] = _COMPLETEGROUPRESPONSE
DESCRIPTOR.message_types_by_name['CompleteInstanceRequest'] = _COMPLETEINSTANCEREQUEST
DESCRIPTOR.message_types_by_name['CompleteInstanceResponse'] = _COMPLETEINSTANCERESPONSE
DESCRIPTOR.message_types_by_name['GetStepSequenceRequest'] = _GETSTEPSEQUENCEREQUEST
DESCRIPTOR.message_types_by_name['StepSequence'] = _STEPSEQUENCE
DESCRIPTOR.message_types_by_name['GetStepSequenceResponse'] = _GETSTEPSEQUENCERESPONSE
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
GetStatusRequest = _reflection.GeneratedProtocolMessageType('GetStatusRequest', (_message.Message,), {'DESCRIPTOR': _GETSTATUSREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(GetStatusRequest)
GetStatusResponse = _reflection.GeneratedProtocolMessageType('GetStatusResponse', (_message.Message,), {'DESCRIPTOR': _GETSTATUSRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(GetStatusResponse)
CreateWorkerSessionRequest = _reflection.GeneratedProtocolMessageType('CreateWorkerSessionRequest', (_message.Message,), {'DESCRIPTOR': _CREATEWORKERSESSIONREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CreateWorkerSessionRequest)
CreateWorkerSessionResponse = _reflection.GeneratedProtocolMessageType('CreateWorkerSessionResponse', (_message.Message,), {'DESCRIPTOR': _CREATEWORKERSESSIONRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CreateWorkerSessionResponse)
DeleteWorkerSessionRequest = _reflection.GeneratedProtocolMessageType('DeleteWorkerSessionRequest', (_message.Message,), {'DESCRIPTOR': _DELETEWORKERSESSIONREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(DeleteWorkerSessionRequest)
DeleteWorkerSessionResponse = _reflection.GeneratedProtocolMessageType('DeleteWorkerSessionResponse', (_message.Message,), {'DESCRIPTOR': _DELETEWORKERSESSIONRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(DeleteWorkerSessionResponse)
RegisterGraphRequest = _reflection.GeneratedProtocolMessageType('RegisterGraphRequest', (_message.Message,), {'DESCRIPTOR': _REGISTERGRAPHREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(RegisterGraphRequest)
RegisterGraphResponse = _reflection.GeneratedProtocolMessageType('RegisterGraphResponse', (_message.Message,), {'DESCRIPTOR': _REGISTERGRAPHRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(RegisterGraphResponse)
DeregisterGraphRequest = _reflection.GeneratedProtocolMessageType('DeregisterGraphRequest', (_message.Message,), {'DESCRIPTOR': _DEREGISTERGRAPHREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(DeregisterGraphRequest)
DeregisterGraphResponse = _reflection.GeneratedProtocolMessageType('DeregisterGraphResponse', (_message.Message,), {'DESCRIPTOR': _DEREGISTERGRAPHRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(DeregisterGraphResponse)
CleanupAllRequest = _reflection.GeneratedProtocolMessageType('CleanupAllRequest', (_message.Message,), {'DESCRIPTOR': _CLEANUPALLREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CleanupAllRequest)
CleanupAllResponse = _reflection.GeneratedProtocolMessageType('CleanupAllResponse', (_message.Message,), {'DESCRIPTOR': _CLEANUPALLRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CleanupAllResponse)
ExecutorOpts = _reflection.GeneratedProtocolMessageType('ExecutorOpts', (_message.Message,), {'DESCRIPTOR': _EXECUTOROPTS, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(ExecutorOpts)
RunGraphRequest = _reflection.GeneratedProtocolMessageType('RunGraphRequest', (_message.Message,), {'DESCRIPTOR': _RUNGRAPHREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(RunGraphRequest)
RunGraphResponse = _reflection.GeneratedProtocolMessageType('RunGraphResponse', (_message.Message,), {'DESCRIPTOR': _RUNGRAPHRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(RunGraphResponse)
CleanupGraphRequest = _reflection.GeneratedProtocolMessageType('CleanupGraphRequest', (_message.Message,), {'DESCRIPTOR': _CLEANUPGRAPHREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CleanupGraphRequest)
CleanupGraphResponse = _reflection.GeneratedProtocolMessageType('CleanupGraphResponse', (_message.Message,), {'DESCRIPTOR': _CLEANUPGRAPHRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CleanupGraphResponse)
RecvTensorRequest = _reflection.GeneratedProtocolMessageType('RecvTensorRequest', (_message.Message,), {'DESCRIPTOR': _RECVTENSORREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(RecvTensorRequest)
RecvTensorResponse = _reflection.GeneratedProtocolMessageType('RecvTensorResponse', (_message.Message,), {'DESCRIPTOR': _RECVTENSORRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(RecvTensorResponse)
MarkRecvFinishedRequest = _reflection.GeneratedProtocolMessageType('MarkRecvFinishedRequest', (_message.Message,), {'DESCRIPTOR': _MARKRECVFINISHEDREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(MarkRecvFinishedRequest)
MarkRecvFinishedResponse = _reflection.GeneratedProtocolMessageType('MarkRecvFinishedResponse', (_message.Message,), {'DESCRIPTOR': _MARKRECVFINISHEDRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(MarkRecvFinishedResponse)
LoggingRequest = _reflection.GeneratedProtocolMessageType('LoggingRequest', (_message.Message,), {'DESCRIPTOR': _LOGGINGREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(LoggingRequest)
LabeledStepStats = _reflection.GeneratedProtocolMessageType('LabeledStepStats', (_message.Message,), {'DESCRIPTOR': _LABELEDSTEPSTATS, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(LabeledStepStats)
LoggingResponse = _reflection.GeneratedProtocolMessageType('LoggingResponse', (_message.Message,), {'DESCRIPTOR': _LOGGINGRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(LoggingResponse)
TraceOpts = _reflection.GeneratedProtocolMessageType('TraceOpts', (_message.Message,), {'DESCRIPTOR': _TRACEOPTS, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(TraceOpts)
TracingRequest = _reflection.GeneratedProtocolMessageType('TracingRequest', (_message.Message,), {'DESCRIPTOR': _TRACINGREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(TracingRequest)
TracingResponse = _reflection.GeneratedProtocolMessageType('TracingResponse', (_message.Message,), {'DESCRIPTOR': _TRACINGRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(TracingResponse)
RecvBufRequest = _reflection.GeneratedProtocolMessageType('RecvBufRequest', (_message.Message,), {'DESCRIPTOR': _RECVBUFREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(RecvBufRequest)
RecvBufResponse = _reflection.GeneratedProtocolMessageType('RecvBufResponse', (_message.Message,), {'DESCRIPTOR': _RECVBUFRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(RecvBufResponse)
CompleteGroupRequest = _reflection.GeneratedProtocolMessageType('CompleteGroupRequest', (_message.Message,), {'DESCRIPTOR': _COMPLETEGROUPREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CompleteGroupRequest)
CompleteGroupResponse = _reflection.GeneratedProtocolMessageType('CompleteGroupResponse', (_message.Message,), {'DESCRIPTOR': _COMPLETEGROUPRESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CompleteGroupResponse)
CompleteInstanceRequest = _reflection.GeneratedProtocolMessageType('CompleteInstanceRequest', (_message.Message,), {'DESCRIPTOR': _COMPLETEINSTANCEREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CompleteInstanceRequest)
CompleteInstanceResponse = _reflection.GeneratedProtocolMessageType('CompleteInstanceResponse', (_message.Message,), {'DESCRIPTOR': _COMPLETEINSTANCERESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(CompleteInstanceResponse)
GetStepSequenceRequest = _reflection.GeneratedProtocolMessageType('GetStepSequenceRequest', (_message.Message,), {'DESCRIPTOR': _GETSTEPSEQUENCEREQUEST, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(GetStepSequenceRequest)
StepSequence = _reflection.GeneratedProtocolMessageType('StepSequence', (_message.Message,), {'DESCRIPTOR': _STEPSEQUENCE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(StepSequence)
GetStepSequenceResponse = _reflection.GeneratedProtocolMessageType('GetStepSequenceResponse', (_message.Message,), {'DESCRIPTOR': _GETSTEPSEQUENCERESPONSE, '__module__': 'tensorflow.core.protobuf.worker_pb2'})
_sym_db.RegisterMessage(GetStepSequenceResponse)
DESCRIPTOR._options = None
_REGISTERGRAPHREQUEST.fields_by_name['has_control_flow']._options = None
| 429.235 | 9,027 | 0.839971 | 11,242 | 85,847 | 6.044654 | 0.043053 | 0.044854 | 0.066825 | 0.060394 | 0.738706 | 0.678621 | 0.655075 | 0.649866 | 0.637505 | 0.58778 | 0 | 0.033084 | 0.039477 | 85,847 | 199 | 9,028 | 431.39196 | 0.791021 | 0.000361 | 0 | 0 | 1 | 0.045455 | 0.19719 | 0.15204 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.085859 | 0 | 0.085859 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
70f5e82d7344f528ef17d2361abcc32b04905649 | 1,840 | py | Python | home/migrations/0004_auto_20190706_0004.py | AkinWilderman/myPort | 3ddeea04ccffe3ed7b66d6dba2c1f2dc00c9eb6c | [
"Apache-2.0"
] | null | null | null | home/migrations/0004_auto_20190706_0004.py | AkinWilderman/myPort | 3ddeea04ccffe3ed7b66d6dba2c1f2dc00c9eb6c | [
"Apache-2.0"
] | null | null | null | home/migrations/0004_auto_20190706_0004.py | AkinWilderman/myPort | 3ddeea04ccffe3ed7b66d6dba2c1f2dc00c9eb6c | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.1.7 on 2019-07-05 23:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0003_job'),
]
operations = [
migrations.AlterField(
model_name='home',
name='Jumbotron_Text',
field=models.TextField(max_length=200, verbose_name='Jumbotron Text'),
),
migrations.AlterField(
model_name='home',
name='address',
field=models.CharField(max_length=100, verbose_name='Address'),
),
migrations.AlterField(
model_name='home',
name='company_name',
field=models.CharField(max_length=100, verbose_name='Company Name'),
),
migrations.AlterField(
model_name='home',
name='country',
field=models.CharField(max_length=30, verbose_name='Country'),
),
migrations.AlterField(
model_name='home',
name='keywords',
field=models.CharField(max_length=400, verbose_name='Keywords'),
),
migrations.AlterField(
model_name='home',
name='meta_description',
field=models.TextField(max_length=160, verbose_name='Meta Description'),
),
migrations.AlterField(
model_name='home',
name='postal',
field=models.IntegerField(verbose_name='Postal Code'),
),
migrations.AlterField(
model_name='home',
name='state',
field=models.CharField(max_length=20, verbose_name='State'),
),
migrations.AlterField(
model_name='home',
name='statement',
field=models.TextField(max_length=300, verbose_name='Statement'),
),
]
| 31.186441 | 84 | 0.564674 | 175 | 1,840 | 5.765714 | 0.302857 | 0.178394 | 0.222993 | 0.258672 | 0.587711 | 0.415263 | 0.085233 | 0.085233 | 0 | 0 | 0 | 0.032514 | 0.314674 | 1,840 | 58 | 85 | 31.724138 | 0.767645 | 0.024457 | 0 | 0.519231 | 1 | 0 | 0.123257 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.019231 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
cb160dc829f1664e73a584594f088291e59dea06 | 3,491 | py | Python | stellarobservatory/quorum_intersection_test.py | carlos-echeverria/stellar-observatory | afc396227fefaabf4717ab7ea0842be0bab7f098 | [
"MIT"
] | null | null | null | stellarobservatory/quorum_intersection_test.py | carlos-echeverria/stellar-observatory | afc396227fefaabf4717ab7ea0842be0bab7f098 | [
"MIT"
] | null | null | null | stellarobservatory/quorum_intersection_test.py | carlos-echeverria/stellar-observatory | afc396227fefaabf4717ab7ea0842be0bab7f098 | [
"MIT"
] | null | null | null | """Test for Torstens's quorum intersection checker (Lachowski variant)"""
from stellarobservatory.quorum_intersection import quorum_intersection, is_quorum
from stellarobservatory.quorums import contains_slice
def test_has_quorum_intersection_false():
"""Test quorum_intersection() == False"""
# Basically two disjoint quorums {A, B} and {D} (two SCCs)
slices_by_node = {
'A': [{'A', 'B'}, {'A', 'C'}, {'A', 'B', 'C'}],
'B': [{'A', 'B'}],
'C': [{'A', 'B', 'C', 'D'}],
'D': [{'D'}]
}
def is_slice_contained(nodes_subset, node) -> bool:
return contains_slice(nodes_subset, slices_by_node, node)
has_intersection, quorum1, quorum2 = quorum_intersection((is_slice_contained,
{'A', 'B', 'C', 'D'}))
assert has_intersection is False
assert is_quorum(is_slice_contained, quorum1) is True
assert is_quorum(is_slice_contained, quorum2) is True
assert quorum1.intersection(quorum2) == set()
def test_has_quorum_intersection_false_in_scc():
"""Test has_quorum_intersection() without intersection inside an scc.
Disjoint SCCs: {1, 2}, {3, 4}"""
slices_by_node = {
1: [{1, 2}, {1, 3}, {1, 4}],
2: [{2, 1}, {2, 3}, {2, 4}],
3: [{1, 3}, {2, 3}, {3, 4}],
4: [{1, 4}, {2, 4}, {3, 4}]
}
def is_slice_contained(nodes_subset, node) -> bool:
return contains_slice(nodes_subset, slices_by_node, node)
has_intersection, quorum1, quorum2 = quorum_intersection((is_slice_contained,
{1, 2, 3, 4}))
assert has_intersection is False
assert is_quorum(is_slice_contained, quorum1) is True
assert is_quorum(is_slice_contained, quorum2) is True
assert quorum1.intersection(quorum2) == set()
def test_has_quorum_intersection_false_two_max_scc():
"""Test has_quorum_intersection() without intersection with two max scc:
Disjoint SCCs: {2}, {3}"""
slices_by_node = {
1: [{1, 2, 3}],
2: [{2}],
3: [{3}]
}
def is_slice_contained(nodes_subset, node) -> bool:
return contains_slice(nodes_subset, slices_by_node, node)
has_intersection, quorum1, quorum2 = quorum_intersection((is_slice_contained, {1, 2, 3}))
assert has_intersection is False
assert is_quorum(is_slice_contained, quorum1) is True
assert is_quorum(is_slice_contained, quorum2) is True
assert quorum1.intersection(quorum2) == set()
def test_has_quorum_intersection_true():
"""Test has_quorum_intersection()"""
# One SCC containing quorum {A, B}
quorum_slices_by_node = {
'A': [{'A', 'B'}, {'A', 'C'}, {'A', 'B', 'C'}],
'B': [{'A', 'B'}],
'C': [{'A', 'B', 'C'}]
}
def is_slice_contained(nodes_subset, node) -> bool:
return contains_slice(nodes_subset, quorum_slices_by_node, node)
assert quorum_intersection((is_slice_contained, {'A', 'B', 'C'})) is True
def test_has_quorum_intersection_true_sccs():
"""Test has_quorum_intersection() with intersection with three sccs"""
slices_by_node = {
1: [{1, 2}, {1, 3}],
2: [{2, 1}, {2, 3}],
3: [{1, 3}, {2, 3}],
4: [{1, 4}],
5: [{2, 5}]
}
def is_slice_contained(nodes_subset, node) -> bool:
return contains_slice(nodes_subset, slices_by_node, node)
assert quorum_intersection((is_slice_contained, {1, 2, 3, 4, 5})) is True
| 35.989691 | 93 | 0.608422 | 460 | 3,491 | 4.345652 | 0.121739 | 0.162081 | 0.128064 | 0.112556 | 0.766883 | 0.756878 | 0.714857 | 0.667834 | 0.647824 | 0.645323 | 0 | 0.035041 | 0.239759 | 3,491 | 96 | 94 | 36.364583 | 0.718161 | 0.138356 | 0 | 0.476923 | 0 | 0 | 0.013477 | 0 | 0 | 0 | 0 | 0 | 0.215385 | 1 | 0.153846 | false | 0 | 0.030769 | 0.076923 | 0.261538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
cb21cf7e5da1ab8075841a0af7413a997bd2a04b | 2,377 | py | Python | tracker/migrations/0005_usermeasurementtypesvisibility.py | mateuszlizun/body-measurement-tracker | 824b20564d3b7421f602d484c7dd3c29ae1d3d7b | [
"MIT"
] | null | null | null | tracker/migrations/0005_usermeasurementtypesvisibility.py | mateuszlizun/body-measurement-tracker | 824b20564d3b7421f602d484c7dd3c29ae1d3d7b | [
"MIT"
] | null | null | null | tracker/migrations/0005_usermeasurementtypesvisibility.py | mateuszlizun/body-measurement-tracker | 824b20564d3b7421f602d484c7dd3c29ae1d3d7b | [
"MIT"
] | null | null | null | # Generated by Django 4.0.2 on 2022-03-27 10:02
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('tracker', '0004_alter_measurement_abdomen_alter_measurement_bicep_l_and_more'),
]
operations = [
migrations.CreateModel(
name='UserMeasurementTypesVisibility',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('neck', models.BooleanField(default=False, verbose_name='Neck')),
('shoulders', models.BooleanField(default=False, verbose_name='Shoulders')),
('chest', models.BooleanField(default=True, verbose_name='Chest')),
('bust', models.BooleanField(default=False, verbose_name='Bust')),
('under_bust', models.BooleanField(default=False, verbose_name='Under bust')),
('bicep_r', models.BooleanField(default=False, verbose_name='Bicep (R)')),
('bicep_l', models.BooleanField(default=False, verbose_name='Bicep (L)')),
('forearm_r', models.BooleanField(default=False, verbose_name='Forearm (R)')),
('forearm_l', models.BooleanField(default=False, verbose_name='Forearm (L)')),
('waist', models.BooleanField(default=True, verbose_name='Waist')),
('abdomen', models.BooleanField(default=False, verbose_name='Abdomen')),
('hips', models.BooleanField(default=True, verbose_name='Hips')),
('buttocks', models.BooleanField(default=False, verbose_name='Buttocks')),
('thigh_r', models.BooleanField(default=False, verbose_name='Thigh (R)')),
('thigh_l', models.BooleanField(default=False, verbose_name='Thigh (L)')),
('calf_r', models.BooleanField(default=False, verbose_name='Calf (R)')),
('calf_l', models.BooleanField(default=False, verbose_name='Calf (L)')),
('weight', models.BooleanField(default=True, verbose_name='Weight')),
('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
),
]
| 56.595238 | 118 | 0.635255 | 248 | 2,377 | 5.907258 | 0.28629 | 0.142662 | 0.307167 | 0.286689 | 0.540614 | 0.540614 | 0.319454 | 0 | 0 | 0 | 0 | 0.010215 | 0.217501 | 2,377 | 41 | 119 | 57.97561 | 0.777419 | 0.018931 | 0 | 0 | 1 | 0 | 0.157082 | 0.040773 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.085714 | 0 | 0.171429 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
cb35af44e90f923de595efebaf430000ea02ced3 | 131 | py | Python | api/task/signals.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 97 | 2016-11-15T14:44:23.000Z | 2022-03-13T18:09:15.000Z | api/task/signals.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 334 | 2016-11-17T19:56:57.000Z | 2022-03-18T10:45:53.000Z | api/task/signals.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 33 | 2017-01-02T16:04:13.000Z | 2022-02-07T19:20:24.000Z | from django.dispatch import Signal
task_cleanup_signal = Signal(providing_args=['apiview', 'result', 'task_id', 'status', 'obj'])
| 32.75 | 94 | 0.748092 | 17 | 131 | 5.529412 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091603 | 131 | 3 | 95 | 43.666667 | 0.789916 | 0 | 0 | 0 | 0 | 0 | 0.221374 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
cb8504e2ff80ff4d1668b08f25cb0dabc6b6e890 | 5,861 | py | Python | broken/new/samuel.py | DaMuffinDev/joel.enc | ab955215b2f4bdfe3b0db8e8d31aaf02e85e137f | [
"MIT"
] | null | null | null | broken/new/samuel.py | DaMuffinDev/joel.enc | ab955215b2f4bdfe3b0db8e8d31aaf02e85e137f | [
"MIT"
] | null | null | null | broken/new/samuel.py | DaMuffinDev/joel.enc | ab955215b2f4bdfe3b0db8e8d31aaf02e85e137f | [
"MIT"
] | null | null | null | import re
from tqdm import tqdm
import string
import random
from _table import lookup_subbyte, reverse_subbyte_lookup, character_lookup
def fill_list(list, characters: int):
list.append("&")
for i in range(characters):
list.append(hex(ord(random.choice(string.ascii_letters))))
return list
def create_grid(hex_values=[], fill_grid=[]):
if len(hex_values) == 0:
raise TypeError("Cannot encrypted a string of length 0.")
grid_values = []
for value in [hex_values[i:i + 25] for i in range(0, len(hex_values), 25)]:
if len(value) == 25: grid_values.append(value); continue
temp = value
for i in range(len(value), 25): temp.append(fill_grid[i])
grid_values.append(temp)
return [[grid_value[i:i + 5] for i in range(0, len(grid_value), 5)] for grid_value in grid_values]
def shift_row(list, positions, direction):
return {"r": [*list[-positions::], *list[:-positions]], "l": [*list[positions::], *list[:positions]]}[direction]
def shift_col(grid, col_index, positions, direction):
col = shift_row([row[col_index] for row in grid], positions, {"u": "l", "d": "r"}[direction])
for i, row in enumerate(grid): row[col_index] = col[i]
return grid
def swap_row(grid, row1_index, row2_index):
grid[row1_index], grid[row2_index] = grid[row2_index], grid[row1_index]
return grid
def swap_col(grid, column1_index, column2_index):
for row in grid:
row[column1_index], row[column2_index] = row[column2_index], row[column1_index]
return grid
def xor(hex1, hex2):
return hex1 ^ hex2
def xor_row(row1, row2):
return [hex(xor(int(row1[i], 16), int(row2[i], 16))) for i in range(5)]
def xor_grid(grid1, grid2):
return [xor_row(grid1[i], grid2[i]) for i in range(5)]
"""
Procedure 1:
Shift (Row 1) 1p Right
Shift (Row 2) 2p Right
Shift (Row 3) 3p Right
Shift (Row 4) 1p Left
Shift (Row 5) 2p Left
Procedure 2:
Swap (Column 1) & (Column 2)
Swap (Column 3) & (Column 5)
Shift (Column 1) 2p Down
Shift (Column 2) 2p Down
Shift (Column 4) 2p Up
Swap (Row 1) & (Row 3)
Swap (Row 2) & (Row 4)
Procedure 3:
Shift (Column 1) 2p Up
Shift (Column 2) 2p Up
Shift (Column 3) 1p Down
Shift (Column 4) 2p Down
Shift (Column 5) 1p Down
"""
def generate_cipher_grid():
values = generate_fill_grid()
return [values[i:i + 5] for i in range(0, len(values), 5)]
def generate_fill_grid():
return [hex(ord(random.choice(string.ascii_letters))) for i in range(25)]
def procedure1(grid):
shifts = {0: [1, "r"], 1: [2, "r"], 2: [3, "r"], 3: [1, "l"], 4: [2, "l"]}
return [shift_row(row, *shifts[index]) for index, row in enumerate(grid)]
def procedure2(grid):
return swap_row(swap_row(shift_col(shift_col(shift_col(swap_col(swap_col(grid, 0, 1), 2, 4), 0, positions=2, direction="d"), 1, positions=2, direction="d"), 3, positions=2, direction="u"), 0, 2), 1, 3)
def procedure3(grid):
instructions = {0: [2, "u"], 1: [2, "u"], 2: [1, "d"], 3: [2, "d"], 4: [1, "d"]}
for i in range(5):
grid = shift_col(grid, i, *instructions[i])
return grid
def procedure4(state, p3_grid):
return [[lookup_subbyte(int(row[i], 16)) for i in range(5)] for row in xor_grid(state, p3_grid)]
def __encrypt(grid, cipher_grid):
return "".join(["".join([chr(v) for v in row]) for row in procedure4(grid, procedure3(procedure2(procedure1(xor_grid(grid, cipher_grid)))))])
def parse_decryption_key(key):
return tuple([v for v in key.split(".")])
def set_cipher_key_as_grid(cipher_key):
return [[int(v, 16) for v in cipher_key[i:i + 5]] for i in range(0, len(cipher_key), 5)]
def get_encrypted_grids(encrypted_text):
values = encrypted_text.split(".")
return [[v[i:i + 5] for i in range(0, len(v), 5)] for v in values]
def reverse_procedure1(grid):
shifts = {0: [1, "l"], 1: [2, "l"], 2: [3, "l"], 3: [1, "r"], 4: [2, "r"]}
return [shift_row(row, *shifts[index]) for index, row in enumerate(grid)]
def reverse_procedure2(grid):
return swap_row(swap_row(shift_col(shift_col(shift_col(swap_col(swap_col(grid, 0, 1), 2, 4), 0, positions=2, direction="u"), 1, positions=2, direction="u"), 3, positions=2, direction="d"), 0, 2), 1, 3)
def reverse_procedure3(grid):
instructions = {0: [2, "d"], 1: [2, "d"], 2: [1, "u"], 3: [2, "u"], 4: [1, "u"]}
for i in range(5):
grid = shift_col(grid, i, *instructions[i])
return grid
def reverse_procedure4(output_grid, cipher_grid):
return [[reverse_subbyte_lookup(row[i]) for i in range(5)] for row in xor_grid(output_grid, cipher_grid)]
def decrypt(encrypted_text, decryption_key, console=True):
rounds, _cipher_grid, fill_grid = parse_decryption_key(decryption_key)
cipher_grid = set_cipher_key_as_grid(_cipher_grid)
grids = get_encrypted_grids(encrypted_text)
for i in tqdm(range(int(rounds)), desc="Decrypting", disable=not console):
values = []
for grid in grids:
values.append(__decrypt(grid, cipher_grid))
def encrypt(text, rounds=1, console=True):
cipher_grid = generate_cipher_grid()
fill_grid = generate_fill_grid()
state = create_grid([hex(ord(t)) for t in text], fill_grid)
for i in tqdm(range(rounds), desc="Encrypting", disable=not console):
values = []
for grid in state:
values.append(__encrypt(grid, cipher_grid))
_ = []
for row in state:
for v in row:
_.append(v)
state = create_grid(v, fill_grid)
decryption_key = f"{rounds}.{''.join([''.join([character_lookup(int(v, 16)) for v in row]) for row in cipher_grid])}.{''.join([character_lookup(int(v, 16)) for v in fill_grid])}"
encrypted_text = "".join([".".join([character_lookup(ord(x)) for x in v]) for v in values])
return (decryption_key, encrypted_text) | 38.81457 | 205 | 0.647671 | 947 | 5,861 | 3.853221 | 0.123548 | 0.018635 | 0.026309 | 0.042203 | 0.344204 | 0.241984 | 0.217594 | 0.167717 | 0.167717 | 0.130995 | 0 | 0.039577 | 0.193824 | 5,861 | 151 | 206 | 38.81457 | 0.732698 | 0 | 0 | 0.128713 | 0 | 0.009901 | 0.047235 | 0.018557 | 0 | 0 | 0 | 0 | 0 | 1 | 0.247525 | false | 0 | 0.049505 | 0.118812 | 0.534653 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
cb8c2231d967d599019570a421034d46716701fe | 427 | py | Python | sklearn_try/news.py | ahmadhafidh/analysis-of-sentiment-ranking-and-rating-apps | 0d9b71eef573bff27575ff0d5be211b51cefd31b | [
"MIT"
] | 1 | 2019-06-30T11:51:24.000Z | 2019-06-30T11:51:24.000Z | sklearn_try/news.py | ahmadhafidh/analysis-of-sentiment-ranking-and-rating-apps | 0d9b71eef573bff27575ff0d5be211b51cefd31b | [
"MIT"
] | null | null | null | sklearn_try/news.py | ahmadhafidh/analysis-of-sentiment-ranking-and-rating-apps | 0d9b71eef573bff27575ff0d5be211b51cefd31b | [
"MIT"
] | null | null | null | from sklearn.datasets import fetch_20newsgroups
newsgroups_train = fetch_20newsgroups(subset='train')
from pprint import pprint
pprint(list(newsgroups_train.target_names))
cats = ['alt.atheism', 'sci.space']
newsgroups_train = fetch_20newsgroups(subset='train', categories=cats)
list(newsgroups_train.target_names)
newsgroups_train.filenames.shape
newsgroups_train.target.shape
newsgroups_train.target[:10] | 26.6875 | 71 | 0.800937 | 52 | 427 | 6.346154 | 0.423077 | 0.318182 | 0.254545 | 0.193939 | 0.442424 | 0.260606 | 0 | 0 | 0 | 0 | 0 | 0.020888 | 0.103045 | 427 | 16 | 72 | 26.6875 | 0.840731 | 0 | 0 | 0 | 0 | 0 | 0.072639 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
cba7b1556a8af501b2f5da8bf6f913ac98f59498 | 311 | py | Python | django_coinpayments/forms.py | SaberDoTcodeR/django-coinpayments | a40e0c6b7e5821756ce2b5b0838d1f0c42b2545c | [
"MIT"
] | 23 | 2018-04-06T03:56:01.000Z | 2022-01-14T21:00:10.000Z | django_coinpayments/forms.py | SaberDoTcodeR/django-coinpayments | a40e0c6b7e5821756ce2b5b0838d1f0c42b2545c | [
"MIT"
] | 7 | 2018-04-25T17:03:21.000Z | 2022-01-14T08:01:51.000Z | django_coinpayments/forms.py | SaberDoTcodeR/django-coinpayments | a40e0c6b7e5821756ce2b5b0838d1f0c42b2545c | [
"MIT"
] | 15 | 2018-04-16T14:00:52.000Z | 2022-01-12T19:27:24.000Z | from django import forms
from .utils import get_coins_list
class ChooseCoinToPayForm(forms.Form):
currency = forms.ChoiceField(choices=get_coins_list(),
widget=forms.RadioSelect(),
label='',
required=True)
| 31.1 | 60 | 0.536977 | 27 | 311 | 6.037037 | 0.703704 | 0.09816 | 0.147239 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.389068 | 311 | 9 | 61 | 34.555556 | 0.857895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
cba8c0c03b7e7e02941a737d8f072e5f3e101c3c | 207 | py | Python | server/libs/notification_enum.py | teemosauce/rpi-cube | 6fd8cff81da5efe87fe4c911ce4b067644ea266f | [
"MIT"
] | 195 | 2019-12-26T11:19:27.000Z | 2022-03-28T04:20:34.000Z | server/libs/notification_enum.py | teemosauce/rpi-cube | 6fd8cff81da5efe87fe4c911ce4b067644ea266f | [
"MIT"
] | 144 | 2019-09-07T19:10:13.000Z | 2022-03-30T07:24:02.000Z | server/libs/notification_enum.py | teemosauce/rpi-cube | 6fd8cff81da5efe87fe4c911ce4b067644ea266f | [
"MIT"
] | 51 | 2019-12-02T00:13:47.000Z | 2022-03-29T17:26:47.000Z | from enum import Enum
class NotificationEnum(Enum):
config_refresh = 1
config_refresh_finished = 2
config_refresh_failed = 3
process_stop = 4
process_pause = 5
process_continue = 6
| 18.818182 | 31 | 0.714976 | 27 | 207 | 5.185185 | 0.703704 | 0.278571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038217 | 0.241546 | 207 | 10 | 32 | 20.7 | 0.853503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
cbb02847fa741b639cf6cfbd70020430670e0257 | 123 | py | Python | lowell-dashboard/app/tools/make_schedule/wkschedule.py | lowell-dashboard/dashboard-flask | c83ad772f40e48258bf845908ffc361d8fe08120 | [
"Apache-2.0"
] | 3 | 2018-12-06T17:19:20.000Z | 2022-03-29T22:28:59.000Z | lowell-dashboard/app/tools/make_schedule/wkschedule.py | lowell-dashboard/dashboard-flask | c83ad772f40e48258bf845908ffc361d8fe08120 | [
"Apache-2.0"
] | 10 | 2018-12-08T03:54:52.000Z | 2022-03-29T22:27:42.000Z | lowell-dashboard/app/tools/make_schedule/wkschedule.py | lowell-dashboard/dashboard-flask | c83ad772f40e48258bf845908ffc361d8fe08120 | [
"Apache-2.0"
] | null | null | null | class WeekSchedule():
def __init__(self, dates=[], codes=[]):
self.weeknum = 0
self.dates = dates
self.codes = codes | 24.6 | 40 | 0.666667 | 16 | 123 | 4.875 | 0.5625 | 0.230769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009804 | 0.170732 | 123 | 5 | 41 | 24.6 | 0.754902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1dabd7e3b3c9b4beb638f6213c7ffbb88c70dc53 | 50 | py | Python | apps/api/v2/__init__.py | MySmile/mysmile | 5abe4baa7970674d1f8365d875519283c2e29dae | [
"BSD-3-Clause"
] | 5 | 2015-05-03T09:51:32.000Z | 2019-05-21T14:19:02.000Z | apps/api/v2/__init__.py | MySmile/mysmile | 5abe4baa7970674d1f8365d875519283c2e29dae | [
"BSD-3-Clause"
] | 24 | 2015-04-05T16:28:08.000Z | 2022-03-11T23:36:56.000Z | apps/api/v2/__init__.py | MySmile/mysmile | 5abe4baa7970674d1f8365d875519283c2e29dae | [
"BSD-3-Clause"
] | null | null | null | default_app_config = 'apps.api.v2.apps.ApiConfig'
| 25 | 49 | 0.8 | 8 | 50 | 4.75 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021277 | 0.06 | 50 | 1 | 50 | 50 | 0.787234 | 0 | 0 | 0 | 0 | 0 | 0.52 | 0.52 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1dad55d5bac00d63ac8485622e68edf4d15d44b1 | 217 | py | Python | Connector/admin/constants.py | bridgedragon/NodeChain | 2554eb7fa7f677037a800eca43e58e1ab15c41a6 | [
"MIT"
] | null | null | null | Connector/admin/constants.py | bridgedragon/NodeChain | 2554eb7fa7f677037a800eca43e58e1ab15c41a6 | [
"MIT"
] | null | null | null | Connector/admin/constants.py | bridgedragon/NodeChain | 2554eb7fa7f677037a800eca43e58e1ab15c41a6 | [
"MIT"
] | null | null | null | #!/usr/bin/python
ADMIN_SCHEMA_FOLDER = "admin/schemas/"
ADMIN_SCHEMA_CHAR_SEPARATOR = "_"
ADD_COIN_METHOD = "addcoin"
GET_COIN_METHOD = "getcoin"
REMOVE_COIN_METHOD = "removecoin"
UPDATE_COIN_METHOD = "updatecoin"
| 21.7 | 38 | 0.788018 | 28 | 217 | 5.607143 | 0.678571 | 0.254777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096774 | 217 | 9 | 39 | 24.111111 | 0.80102 | 0.073733 | 0 | 0 | 0 | 0 | 0.245 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1db61cbec80cb93f5c82777710252cd643ea4efa | 123 | py | Python | exercises/exc_D1.py | dataXcode/IPP | c9b94ad2d7dc14b01e6657a4fa555507bbc7e93b | [
"MIT"
] | null | null | null | exercises/exc_D1.py | dataXcode/IPP | c9b94ad2d7dc14b01e6657a4fa555507bbc7e93b | [
"MIT"
] | null | null | null | exercises/exc_D1.py | dataXcode/IPP | c9b94ad2d7dc14b01e6657a4fa555507bbc7e93b | [
"MIT"
] | null | null | null | #1 Create countries dictionary
countries = __________________
#2 Print out the capital of egypt
print(__________________) | 24.6 | 33 | 0.829268 | 13 | 123 | 5.076923 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018692 | 0.130081 | 123 | 5 | 34 | 24.6 | 0.598131 | 0.504065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
1dbdafae96ca8bdcec1783d4ac6d7a37215bf6e7 | 1,187 | py | Python | x5gon_content_metadata_dataset/io.py | IRCAI/X5GON_content_metadata_dataset | aac2384157cacbdb1e519ee6337c713eb10b3fdc | [
"CC-BY-4.0"
] | null | null | null | x5gon_content_metadata_dataset/io.py | IRCAI/X5GON_content_metadata_dataset | aac2384157cacbdb1e519ee6337c713eb10b3fdc | [
"CC-BY-4.0"
] | null | null | null | x5gon_content_metadata_dataset/io.py | IRCAI/X5GON_content_metadata_dataset | aac2384157cacbdb1e519ee6337c713eb10b3fdc | [
"CC-BY-4.0"
] | null | null | null | import pandas as pd
SEPARATOR = "|||"
def _split_text(text, sep=SEPARATOR):
return [t.strip() for t in str(text).split(sep)]
def load_dataset(filepath):
"""Loads the x5gon metadata dataset from the specified path
Args:
filepath (str): filepath to the TSV file with metadata dataset
Returns:
data (DataFrame): A pandas DataFrame containing the metadata
Format of output file:
id (int): resource id of OER in the X5GON index. Useful to get more information using the API
title (str): Title of the Resource
type (str): File Type (can be video, audio, pdf etc...)
language (str): Language of the resource
keywords ([str]): A list of keywords extracted using AI
concepts ([str]): A list of Wikipedia concepts associated with the resource (using AI)
"""
data = pd.read_csv(filepath, sep="\t")
data["keywords"] = data["keywords"].apply(_split_text)
data["concepts"] = data["concepts"].apply(_split_text)
return data
| 38.290323 | 125 | 0.57203 | 143 | 1,187 | 4.692308 | 0.475524 | 0.040238 | 0.038748 | 0.029806 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002554 | 0.340354 | 1,187 | 30 | 126 | 39.566667 | 0.854406 | 0.663016 | 0 | 0 | 0 | 0 | 0.107246 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0.111111 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
1dea1409f2fd757a98d96a2754d573995a2a736e | 155 | py | Python | web_elements/table/td.py | tronze/PythonCustomCalendar | bd7ffbbf28616ccf65e545605ede5f3dda251c9a | [
"BSD-3-Clause"
] | 8 | 2019-03-05T12:23:07.000Z | 2021-01-10T09:49:27.000Z | web_elements/table/td.py | tronze/PythonCustomCalendar | bd7ffbbf28616ccf65e545605ede5f3dda251c9a | [
"BSD-3-Clause"
] | null | null | null | web_elements/table/td.py | tronze/PythonCustomCalendar | bd7ffbbf28616ccf65e545605ede5f3dda251c9a | [
"BSD-3-Clause"
] | 2 | 2019-02-18T06:34:34.000Z | 2019-03-05T12:17:22.000Z | from ..web_element import WebElement
class TdElement(WebElement):
TD = 'td'
def __init__(self):
super().__init__(element_type=self.TD)
| 15.5 | 46 | 0.677419 | 19 | 155 | 5 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.206452 | 155 | 9 | 47 | 17.222222 | 0.772358 | 0 | 0 | 0 | 0 | 0 | 0.012903 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
1df3057703672e6a31b41b37cbadd545c4e589ed | 226 | py | Python | sendfile/backends/xsendfile.py | NotSqrt/django-sendfile | 31ceca3298c83b69361f7af59a65b06a0ca69506 | [
"BSD-3-Clause"
] | 1 | 2015-10-23T18:00:51.000Z | 2015-10-23T18:00:51.000Z | sendfile/backends/xsendfile.py | NotSqrt/django-sendfile | 31ceca3298c83b69361f7af59a65b06a0ca69506 | [
"BSD-3-Clause"
] | null | null | null | sendfile/backends/xsendfile.py | NotSqrt/django-sendfile | 31ceca3298c83b69361f7af59a65b06a0ca69506 | [
"BSD-3-Clause"
] | null | null | null | from django.http import HttpResponse
from django.utils.encoding import smart_str
def sendfile(request, filename, **kwargs):
response = HttpResponse()
response['X-Sendfile'] = smart_str(filename)
return response
| 22.6 | 48 | 0.752212 | 27 | 226 | 6.222222 | 0.62963 | 0.119048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.154867 | 226 | 9 | 49 | 25.111111 | 0.879581 | 0 | 0 | 0 | 0 | 0 | 0.044248 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
1dfcda565aa037a729dca081add9b1b386ddf78a | 5,805 | py | Python | chb/asm/AsmRegister.py | psifertex/CodeHawk-Binary | 1711d7b16d32a2e9ffa9d22af483182b3f9ded77 | [
"MIT"
] | null | null | null | chb/asm/AsmRegister.py | psifertex/CodeHawk-Binary | 1711d7b16d32a2e9ffa9d22af483182b3f9ded77 | [
"MIT"
] | null | null | null | chb/asm/AsmRegister.py | psifertex/CodeHawk-Binary | 1711d7b16d32a2e9ffa9d22af483182b3f9ded77 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------
# Access to the CodeHawk Binary Analyzer Analysis Results
# Author: Henny Sipma
# ------------------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2016-2020 Kestrel Technology LLC
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# ------------------------------------------------------------------------------
"""X86 CPU Register data."""
class AsmRegisterBase(object):
def __init__(self,bd,index,tags,args):
self.bd = bd
self.index = index
self.tags = tags
self.args = args
def is_cpu_register(self): return False
def is_segment_register(self): return False
def is_double_register(self): return False
def is_floating_point_register(self): return False
def is_control_register(self): return False
def is_debug_register(self): return False
def is_mmx_register(self): return False
def is_xmm_register(self): return False
def get_key(self):
return (','.join(self.tags), ','.join([str(x) for x in self.args]))
# ------------------------------------------------------------------------------
# CPURegister
# ------------------------------------------------------------------------------
class CPURegister(AsmRegisterBase):
def __init__(self,bd,index,tags,args):
AsmRegisterBase.__init__(self,bd,index,tags,args)
def is_cpu_register(self): return True
def __str__(self): return self.tags[1]
# ------------------------------------------------------------------------------
# SegmentRegister
# ------------------------------------------------------------------------------
class SegmentRegister(AsmRegisterBase):
def __init__(self,bd,index,tags,args):
AsmRegisterBase.__init__(self,bd,index,tags,args)
def is_segment_register(self): return True
def __str__(self): return self.tags[1]
# ------------------------------------------------------------------------------
# DoubleRegister
# ------------------------------------------------------------------------------
class DoubleRegister(AsmRegisterBase):
def __init__(self,bd,index,tags,args):
AsmRegisterBase.__init__(self,bd,index,tags,args)
def is_double_register(self): return True
def __str__(self): return self.tags[1] + ':' + self.tags[2]
# ------------------------------------------------------------------------------
# FloatingPointRegister
# ------------------------------------------------------------------------------
class FloatingPointRegister(AsmRegisterBase):
def __init__(self,bd,index,tags,args):
AsmRegisterBase.__init__(self,bd,index,tags,args)
def is_floating_point_register(self): return True
def get_index(self): return self.args[0]
def __str__(self): return 'st(' + str(self.get_index()) + ')'
# ------------------------------------------------------------------------------
# ControlRegister
# ------------------------------------------------------------------------------
class ControlRegister(AsmRegisterBase):
def __init__(self,bd,index,tags,args):
AsmRegisterBase.__init__(self,bd,index,tags,args)
def is_control_register(self): return True
def get_index(self): return self.args[0]
def __str__(self): return 'CR' + str(self.get_index())
# ------------------------------------------------------------------------------
# DebugRegister
# ------------------------------------------------------------------------------
class DebugRegister(AsmRegisterBase):
def __init__(self,bd,index,tags,args):
AsmRegisterBase.__init__(self,bd,index,tags,args)
def is_debug_register(self): return True
def get_index(self): return self.args[0]
def __str__(self): return 'DR' + str(self.get_index())
# ------------------------------------------------------------------------------
# MmxRegister
# ------------------------------------------------------------------------------
class MmxRegister(AsmRegisterBase):
def __init__(self,bd,index,tags,args):
AsmRegisterBase.__init__(self,bd,index,tags,args)
def is_mmx_register(self): return True
def get_index(self): return self.args[0]
def __str__(self): return 'mm(' + str(self.get_index()) + ')'
# ------------------------------------------------------------------------------
# XmmRegister
# ------------------------------------------------------------------------------
class XmmRegister(AsmRegisterBase):
def __init__(self,bd,index,tags,args):
AsmRegisterBase.__init__(self,bd,index,tags,args)
def is_xmm_register(self): return True
def get_index(self): return self.args[0]
def __str__(self): return 'xmm(' + str(self.get_index()) + ')'
| 35.613497 | 80 | 0.531611 | 594 | 5,805 | 4.951178 | 0.257576 | 0.102006 | 0.057803 | 0.086705 | 0.511391 | 0.508671 | 0.428766 | 0.392044 | 0.392044 | 0.392044 | 0 | 0.003788 | 0.135917 | 5,805 | 162 | 81 | 35.833333 | 0.582536 | 0.484065 | 0 | 0.393443 | 0 | 0 | 0.006803 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.639344 | false | 0 | 0 | 0.491803 | 0.803279 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
3811f55f1c82a91b5af469548d334ddd86ba58d3 | 210 | py | Python | pipescaler/__init__.py | KarlTDebiec/PipeScaler | b990ece8f3dd2c3506c226ed871871997fc57beb | [
"BSD-3-Clause"
] | 1 | 2022-02-07T03:47:53.000Z | 2022-02-07T03:47:53.000Z | pipescaler/__init__.py | KarlTDebiec/PipeScaler | b990ece8f3dd2c3506c226ed871871997fc57beb | [
"BSD-3-Clause"
] | 49 | 2022-01-17T15:16:22.000Z | 2022-03-28T03:00:39.000Z | pipescaler/__init__.py | KarlTDebiec/PipeScaler | b990ece8f3dd2c3506c226ed871871997fc57beb | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# pipescaler/__init__.py
#
# Copyright (C) 2020-2021 Karl T Debiec
# All rights reserved.
#
# This software may be modified and distributed under the terms of the
# BSD license.
| 23.333333 | 72 | 0.704762 | 31 | 210 | 4.645161 | 0.967742 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047904 | 0.204762 | 210 | 8 | 73 | 26.25 | 0.814371 | 0.92381 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
381b1b39db3c7ea5935c7967d4ba5a82c7a7e81d | 926 | py | Python | account_creaters/generate_account_data.py | erhan-/pokefarm | 797ad72d44bdccd2b7a32080d259d187988bd4ab | [
"MIT"
] | null | null | null | account_creaters/generate_account_data.py | erhan-/pokefarm | 797ad72d44bdccd2b7a32080d259d187988bd4ab | [
"MIT"
] | null | null | null | account_creaters/generate_account_data.py | erhan-/pokefarm | 797ad72d44bdccd2b7a32080d259d187988bd4ab | [
"MIT"
] | null | null | null | from faker import Faker
# install with: pip install faker
import string
import random
import json
import sys
def gen_password(length, special=False):
# TODO: do this more secure
alpha = string.ascii_uppercase + string.ascii_lowercase + string.digits
if special:
alpha += "@${}()^&*%#!"
return ''.join(random.choice(alpha) for _ in range(length))
if len(sys.argv) != 3:
print "Usage: %s <num accounts> <output file>"%(sys.argv[0])
num_accounts = int(sys.argv[1])
output_file = sys.argv[2]
config = {"accounts": []}
f = Faker()
for _ in range(num_accounts):
account = {
"auth_service": "ptc",
"username": f.username() + gen_password(5) ,
"password": gen_password(10)+"!",
"location": "40.766733, -73.977474",
"cp": 0
}
config["accounts"].append(account)
with open(output_file, "w") as fd:
fd.write(json.JSONEncoder().encode(config))
| 25.027027 | 75 | 0.62959 | 122 | 926 | 4.680328 | 0.57377 | 0.049037 | 0.035026 | 0.059545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032742 | 0.208423 | 926 | 36 | 76 | 25.722222 | 0.746248 | 0.061555 | 0 | 0 | 0 | 0 | 0.150115 | 0 | 0 | 0 | 0 | 0.027778 | 0 | 0 | null | null | 0.111111 | 0.185185 | null | null | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
381c68c41ff37227ef5347b98ef68391090bd919 | 214 | py | Python | LeetCode/python3/650.py | ZintrulCre/LeetCode_Archiver | de23e16ead29336b5ee7aa1898a392a5d6463d27 | [
"MIT"
] | 279 | 2019-02-19T16:00:32.000Z | 2022-03-23T12:16:30.000Z | LeetCode/python3/650.py | ZintrulCre/LeetCode_Archiver | de23e16ead29336b5ee7aa1898a392a5d6463d27 | [
"MIT"
] | 2 | 2019-03-31T08:03:06.000Z | 2021-03-07T04:54:32.000Z | LeetCode/python3/650.py | ZintrulCre/LeetCode_Crawler | de23e16ead29336b5ee7aa1898a392a5d6463d27 | [
"MIT"
] | 12 | 2019-01-29T11:45:32.000Z | 2019-02-04T16:31:46.000Z | class Solution:
def minSteps(self, n: int) -> int:
res, m = 0, 2
while n > 1:
while n % m == 0:
res += m
n //= m
m += 1
return res | 23.777778 | 38 | 0.341121 | 27 | 214 | 2.703704 | 0.518519 | 0.109589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051546 | 0.546729 | 214 | 9 | 39 | 23.777778 | 0.701031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
382d576c44a6fa463366738de9481ac25116c75b | 52 | py | Python | astrobot/cogs/spotify/__init__.py | astro-devel/astrobot | d0a957731cabed23a7442c8ad4672e7331946e26 | [
"MIT"
] | null | null | null | astrobot/cogs/spotify/__init__.py | astro-devel/astrobot | d0a957731cabed23a7442c8ad4672e7331946e26 | [
"MIT"
] | 8 | 2022-01-24T00:14:54.000Z | 2022-03-25T18:19:20.000Z | astrobot/cogs/spotify/__init__.py | astro-devel/astrobot | d0a957731cabed23a7442c8ad4672e7331946e26 | [
"MIT"
] | 1 | 2022-01-24T22:37:47.000Z | 2022-01-24T22:37:47.000Z | from .spotify import Spotify
__all__ = ["Spotify"]
| 13 | 28 | 0.730769 | 6 | 52 | 5.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 52 | 3 | 29 | 17.333333 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0.134615 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
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