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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d4bca411ec322bf0d2f4684e172c03b2076797b4 | 3,590 | py | Python | hypernet/src/thermophysicalModels/reactionThermo/mixture/multiComponent.py | christian-jacobsen/hypernet | 9f62e1531eb152cc08af0b0c6b09d6fde8d42400 | [
"Apache-2.0"
] | null | null | null | hypernet/src/thermophysicalModels/reactionThermo/mixture/multiComponent.py | christian-jacobsen/hypernet | 9f62e1531eb152cc08af0b0c6b09d6fde8d42400 | [
"Apache-2.0"
] | null | null | null | hypernet/src/thermophysicalModels/reactionThermo/mixture/multiComponent.py | christian-jacobsen/hypernet | 9f62e1531eb152cc08af0b0c6b09d6fde8d42400 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from hypernet.src.general import const
from hypernet.src.general import utils
from hypernet.src.thermophysicalModels.reactionThermo.mixture import Basic
class MultiComponent(Basic):
# Initialization
###########################################################################
def __init... | 30.423729 | 79 | 0.479666 | 446 | 3,590 | 3.778027 | 0.190583 | 0.083086 | 0.071217 | 0.099703 | 0.422552 | 0.321068 | 0.321068 | 0.321068 | 0.321068 | 0.321068 | 0 | 0.000404 | 0.310585 | 3,590 | 117 | 80 | 30.683761 | 0.680404 | 0.117549 | 0 | 0.202532 | 0 | 0 | 0.004335 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.189873 | false | 0 | 0.050633 | 0.025316 | 0.379747 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c06417dd5e89491398d91b568c1842895c3961 | 14,779 | py | Python | tensorflow_probability/python/distributions/laplace_test.py | wataruhashimoto52/probability | 12e3f256544eadea6e863868da825614f4423eb0 | [
"Apache-2.0"
] | 1 | 2020-04-13T12:31:12.000Z | 2020-04-13T12:31:12.000Z | tensorflow_probability/python/distributions/laplace_test.py | wataruhashimoto52/probability | 12e3f256544eadea6e863868da825614f4423eb0 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/distributions/laplace_test.py | wataruhashimoto52/probability | 12e3f256544eadea6e863868da825614f4423eb0 | [
"Apache-2.0"
] | 1 | 2020-12-19T13:05:15.000Z | 2020-12-19T13:05:15.000Z | # Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 38.790026 | 109 | 0.66175 | 2,258 | 14,779 | 4.164748 | 0.125332 | 0.017439 | 0.035942 | 0.029775 | 0.554126 | 0.489792 | 0.449171 | 0.426733 | 0.38994 | 0.378031 | 0 | 0.040776 | 0.183571 | 14,779 | 380 | 110 | 38.892105 | 0.738604 | 0.054808 | 0 | 0.370968 | 0 | 0 | 0.013121 | 0 | 0 | 0 | 0 | 0 | 0.219355 | 1 | 0.077419 | false | 0 | 0.029032 | 0 | 0.112903 | 0.003226 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c0decddfc9adf11a583ac3c85b167de4ffaed9 | 33,707 | py | Python | selectinf/randomized/approx_reference_grouplasso.py | kevinbfry/selective-inference | 4e846877b5c23969fc420b452f20cc3b16b6cb78 | [
"BSD-3-Clause"
] | 14 | 2015-09-01T19:31:25.000Z | 2021-11-26T08:47:10.000Z | selectinf/randomized/approx_reference_grouplasso.py | kevinbfry/selective-inference | 4e846877b5c23969fc420b452f20cc3b16b6cb78 | [
"BSD-3-Clause"
] | 7 | 2016-09-12T20:41:41.000Z | 2018-06-26T02:10:30.000Z | selectinf/randomized/approx_reference_grouplasso.py | kevinbfry/selective-inference | 4e846877b5c23969fc420b452f20cc3b16b6cb78 | [
"BSD-3-Clause"
] | 10 | 2015-09-01T19:31:28.000Z | 2021-02-23T01:16:20.000Z | from __future__ import print_function
from scipy.linalg import block_diag
from scipy.stats import norm as ndist
from scipy.interpolate import interp1d
import collections
import numpy as np
from numpy import log
from numpy.linalg import norm, qr, inv, eig
import pandas as pd
import regreg.api as rr
from .randomization... | 37.830527 | 116 | 0.556709 | 3,985 | 33,707 | 4.505897 | 0.139523 | 0.031967 | 0.014034 | 0.005792 | 0.275395 | 0.237358 | 0.211796 | 0.159557 | 0.112943 | 0.099688 | 0 | 0.011184 | 0.350076 | 33,707 | 890 | 117 | 37.873034 | 0.808463 | 0.164447 | 0 | 0.219251 | 0 | 0 | 0.019895 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040998 | false | 0 | 0.024955 | 0 | 0.105169 | 0.003565 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c1d2fbba6d7c550c2607f8f36af9eb36384e04 | 18,606 | py | Python | internals/states.py | mattjj/pyhsmm-collapsedinfinite | 81a60c025beec6fb065bc9f4e23cea43b6f6725c | [
"MIT"
] | null | null | null | internals/states.py | mattjj/pyhsmm-collapsedinfinite | 81a60c025beec6fb065bc9f4e23cea43b6f6725c | [
"MIT"
] | null | null | null | internals/states.py | mattjj/pyhsmm-collapsedinfinite | 81a60c025beec6fb065bc9f4e23cea43b6f6725c | [
"MIT"
] | 1 | 2021-10-06T15:12:44.000Z | 2021-10-06T15:12:44.000Z | from __future__ import division
import numpy as np
na = np.newaxis
import collections, itertools
import abc
from pyhsmm.util.stats import sample_discrete, sample_discrete_from_log, combinedata
from pyhsmm.util.general import rle as rle
# NOTE: assumes censoring. can make no censoring by adding to score of last
# segm... | 35.849711 | 110 | 0.577448 | 2,431 | 18,606 | 4.322912 | 0.143562 | 0.075364 | 0.028547 | 0.011514 | 0.501475 | 0.458274 | 0.413645 | 0.348463 | 0.332477 | 0.311257 | 0 | 0.015428 | 0.306729 | 18,606 | 518 | 111 | 35.918919 | 0.799287 | 0.148124 | 0 | 0.458689 | 0 | 0 | 0.003837 | 0 | 0 | 0 | 0 | 0.003861 | 0.051282 | 1 | 0.091168 | false | 0.019943 | 0.019943 | 0.002849 | 0.196581 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c20caa8c6caaf656d4639f0a7424aba4ba6e44 | 1,406 | py | Python | exporters/contrib/writers/odo_writer.py | scrapinghub/exporters | b14f70530826bbbd6163d9e56e74345e762a9189 | [
"BSD-3-Clause"
] | 41 | 2016-06-16T15:29:39.000Z | 2021-08-06T03:29:13.000Z | exporters/contrib/writers/odo_writer.py | bbotella/fluxo | c9fb01db1771ada4672bbffd67cb46e1f7802ab9 | [
"BSD-3-Clause"
] | 52 | 2016-06-20T12:46:57.000Z | 2018-02-08T12:22:03.000Z | exporters/contrib/writers/odo_writer.py | bbotella/fluxo | c9fb01db1771ada4672bbffd67cb46e1f7802ab9 | [
"BSD-3-Clause"
] | 10 | 2016-06-23T08:49:36.000Z | 2018-01-13T10:12:10.000Z | import six
import json
import gzip
from exporters.default_retries import retry_long
from exporters.writers.base_writer import BaseWriter
class ODOWriter(BaseWriter):
"""
Writes items to a odo destination. https://odo.readthedocs.org/en/latest/
Needed parameters:
- schema (object)
sc... | 31.244444 | 93 | 0.642959 | 174 | 1,406 | 5.045977 | 0.482759 | 0.041002 | 0.034169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.242532 | 1,406 | 44 | 94 | 31.954545 | 0.824413 | 0.138691 | 0 | 0 | 0 | 0 | 0.081702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.296296 | 0 | 0.444444 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c3adf62c8a44bad01c91e8ccec7e900d2597c3 | 1,573 | py | Python | graphstar/utils.py | pengboomouch/graphstar | f7f3537aa92118765b358dd3a47b4fa5cea8587c | [
"MIT"
] | null | null | null | graphstar/utils.py | pengboomouch/graphstar | f7f3537aa92118765b358dd3a47b4fa5cea8587c | [
"MIT"
] | null | null | null | graphstar/utils.py | pengboomouch/graphstar | f7f3537aa92118765b358dd3a47b4fa5cea8587c | [
"MIT"
] | null | null | null | """
graphstar.utils
~~~~~~~~~~~~~~~
Cristian Cornea
A simple bedirectional graph with A* and breadth-first pathfinding.
Utils are either used by the search algorithm, or when needed :)
Pretty self explainatory (I hope)
For more information see the examples and tests folder
"""
def smooth_path(p):
# If the ... | 24.968254 | 68 | 0.688493 | 279 | 1,573 | 3.806452 | 0.419355 | 0.033898 | 0.018832 | 0.028249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007341 | 0.220598 | 1,573 | 62 | 69 | 25.370968 | 0.858891 | 0.625556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0 | 0 | 0.238095 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c411c2e8e16ded3277d3bfc3c35dd1f462b513 | 527 | py | Python | jinchi/demo/foobar.py | jiz148/py-test | d976265d065c760f2e8b55302dedbfebd01bec28 | [
"Apache-2.0"
] | null | null | null | jinchi/demo/foobar.py | jiz148/py-test | d976265d065c760f2e8b55302dedbfebd01bec28 | [
"Apache-2.0"
] | null | null | null | jinchi/demo/foobar.py | jiz148/py-test | d976265d065c760f2e8b55302dedbfebd01bec28 | [
"Apache-2.0"
] | 1 | 2019-01-07T18:42:53.000Z | 2019-01-07T18:42:53.000Z | import os
def check_env(env_var_name):
"""
Check and return the type of an environment variable.
supported types:
None
Integer
String
@param env_var_name: environment variable name
@return: string of the type name.
"""
try:
val = os.getenv(env_var_name)
... | 18.821429 | 57 | 0.578748 | 65 | 527 | 4.569231 | 0.492308 | 0.060606 | 0.10101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.352941 | 527 | 27 | 58 | 19.518519 | 0.870968 | 0.351044 | 0 | 0.153846 | 0 | 0 | 0.069536 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.461538 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c56f7b05d7fe221ca2f682d2bea0e270121b36 | 2,000 | py | Python | tracking/utils.py | WGBH/django-tracking | 80e8bc44521820eab956d2264d6df0b6987429e0 | [
"MIT"
] | null | null | null | tracking/utils.py | WGBH/django-tracking | 80e8bc44521820eab956d2264d6df0b6987429e0 | [
"MIT"
] | null | null | null | tracking/utils.py | WGBH/django-tracking | 80e8bc44521820eab956d2264d6df0b6987429e0 | [
"MIT"
] | null | null | null | from datetime import datetime
from django.conf import settings
import pytz
def check_tracker(obj, simple=True):
if simple:
if obj.status > 0:
return True
return False
# we have a gatekeeper
now = datetime.now(pytz.utc)
if obj.tracker_publish_status < 0:
... | 35.087719 | 88 | 0.665 | 281 | 2,000 | 4.576512 | 0.423488 | 0.046656 | 0.037325 | 0.026439 | 0.130638 | 0.049767 | 0.049767 | 0 | 0 | 0 | 0 | 0.005274 | 0.2415 | 2,000 | 57 | 89 | 35.087719 | 0.842452 | 0.384 | 0 | 0.242424 | 0 | 0 | 0.139812 | 0.02387 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.090909 | 0 | 0.424242 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c5d7225aa1d551d6744fefbde6bc3d8b9f8cc2 | 3,220 | py | Python | computation/Tests/Jetson/TF_model.py | y-x-c/Heliot | b98646966fd1d437e308abeed59668df640932de | [
"BSD-3-Clause"
] | 4 | 2019-09-19T15:36:22.000Z | 2020-02-18T09:28:54.000Z | computation/Tests/Jetson/TF_model.py | y-x-c/Heliot | b98646966fd1d437e308abeed59668df640932de | [
"BSD-3-Clause"
] | null | null | null | computation/Tests/Jetson/TF_model.py | y-x-c/Heliot | b98646966fd1d437e308abeed59668df640932de | [
"BSD-3-Clause"
] | 2 | 2020-04-14T19:11:32.000Z | 2022-01-08T18:59:02.000Z | import numpy as np
import os
import six.moves.urllib as urllib
import sys
import tarfile
import tensorflow as tf
import zipfile
from distutils.version import StrictVersion
from collections import defaultdict
from io import StringIO
from matplotlib import pyplot as plt
from PIL import Image
import json
import time
im... | 26.178862 | 100 | 0.700621 | 495 | 3,220 | 4.341414 | 0.30101 | 0.04188 | 0.033504 | 0.015821 | 0.233597 | 0.120056 | 0.092136 | 0.092136 | 0.092136 | 0.053979 | 0 | 0.019985 | 0.176398 | 3,220 | 122 | 101 | 26.393443 | 0.790347 | 0.088199 | 0 | 0.102564 | 0 | 0 | 0.109134 | 0.031475 | 0.012821 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.205128 | 0 | 0.25641 | 0.064103 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c6aa1d03e45cbedd11a4f0d5c301600877fac8 | 1,326 | py | Python | frappe/patches/v13_0/update_date_filters_in_user_settings.py | chentaoz/frappe | ee3c4943bf6177ad3b410cdb0d802af486751a65 | [
"MIT"
] | 3 | 2017-12-09T22:05:11.000Z | 2019-10-22T12:03:43.000Z | frappe/patches/v13_0/update_date_filters_in_user_settings.py | chentaoz/frappe | ee3c4943bf6177ad3b410cdb0d802af486751a65 | [
"MIT"
] | 17 | 2021-03-22T18:47:14.000Z | 2022-03-15T12:21:00.000Z | frappe/patches/v13_0/update_date_filters_in_user_settings.py | chentaoz/frappe | ee3c4943bf6177ad3b410cdb0d802af486751a65 | [
"MIT"
] | 2 | 2021-05-06T06:14:40.000Z | 2021-05-06T10:05:29.000Z | from __future__ import unicode_literals
import frappe, json
from frappe.model.utils.user_settings import update_user_settings, sync_user_settings
def execute():
users = frappe.db.sql("select distinct(user) from `__UserSettings`", as_dict=True)
for user in users:
user_settings = frappe.db.sql('''
select
* f... | 24.109091 | 85 | 0.659879 | 187 | 1,326 | 4.486631 | 0.31016 | 0.100119 | 0.035757 | 0.045292 | 0.073898 | 0.073898 | 0 | 0 | 0 | 0 | 0 | 0.011184 | 0.190799 | 1,326 | 54 | 86 | 24.555556 | 0.770736 | 0 | 0 | 0 | 0 | 0 | 0.181269 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.069767 | 0 | 0.116279 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c78d441d23d25b49b17e8da38c99500cd4ebd4 | 3,993 | py | Python | miniproject/train.py | peguerosdc/ml4phy-quantum-oscillators | 5ce2cc8ea9ad00e23dab45d898e51f484fca5934 | [
"MIT"
] | null | null | null | miniproject/train.py | peguerosdc/ml4phy-quantum-oscillators | 5ce2cc8ea9ad00e23dab45d898e51f484fca5934 | [
"MIT"
] | null | null | null | miniproject/train.py | peguerosdc/ml4phy-quantum-oscillators | 5ce2cc8ea9ad00e23dab45d898e51f484fca5934 | [
"MIT"
] | 1 | 2021-07-18T11:11:46.000Z | 2021-07-18T11:11:46.000Z | import BoltzmannMachine as bm
import QHO as qho
import numpy as np
import datetime
# Visualization imports
from IPython.display import clear_output
from PIL import Image
import matplotlib.pyplot as plt
import matplotlib
matplotlib.rcParams['figure.dpi']=300
def sigmoid(x):
return .5 * (1 + np.tanh(x / 2.))
# Set t... | 40.333333 | 104 | 0.69146 | 663 | 3,993 | 4.060332 | 0.3454 | 0.015602 | 0.026746 | 0.042348 | 0.096582 | 0.096582 | 0.031947 | 0.027489 | 0.027489 | 0.014116 | 0 | 0.030516 | 0.179314 | 3,993 | 98 | 105 | 40.744898 | 0.790967 | 0.289507 | 0 | 0 | 0 | 0 | 0.095695 | 0.038776 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0 | 0.126984 | 0.015873 | 0.206349 | 0.047619 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c7b73306f8c0594f64a791f8292624d0ac8d82 | 11,237 | py | Python | Tests/Marketplace/prepare_public_index_for_private_testing.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Tests/Marketplace/prepare_public_index_for_private_testing.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Tests/Marketplace/prepare_public_index_for_private_testing.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import time
import os
import sys
import shutil
import json
import argparse
from zipfile import ZipFile
from contextlib import contextmanager
from datetime import datetime
from Tests.private_build.upload_packs_private import download_and_extract_index, update_index_with_priced_packs, \
extract_packs_artifacts
from T... | 48.021368 | 129 | 0.707128 | 1,484 | 11,237 | 4.931941 | 0.177898 | 0.101107 | 0.047821 | 0.034431 | 0.361525 | 0.272988 | 0.234185 | 0.181036 | 0.147425 | 0.116273 | 0 | 0.002172 | 0.221589 | 11,237 | 233 | 130 | 48.227468 | 0.834572 | 0.068435 | 0 | 0.094118 | 0 | 0 | 0.134499 | 0.015467 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070588 | false | 0 | 0.076471 | 0 | 0.164706 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4c9cb6d342d54eea3d53d2a8f44856dc1296577 | 2,843 | py | Python | configs/_base_/datasets/flyingchairs_320x448.py | zhouzaida/mmflow | b34f0801061469f04a83133d7f5652dead1f93ce | [
"Apache-2.0"
] | 1 | 2021-11-16T12:32:54.000Z | 2021-11-16T12:32:54.000Z | configs/_base_/datasets/flyingchairs_320x448.py | xiaokekeke/mmflow | c9ab798cec832d3472cbb06f04b2d64299802168 | [
"Apache-2.0"
] | null | null | null | configs/_base_/datasets/flyingchairs_320x448.py | xiaokekeke/mmflow | c9ab798cec832d3472cbb06f04b2d64299802168 | [
"Apache-2.0"
] | 1 | 2022-03-24T06:46:05.000Z | 2022-03-24T06:46:05.000Z | dataset_type = 'FlyingChairs'
data_root = 'data/FlyingChairs_release'
img_norm_cfg = dict(mean=[0., 0., 0.], std=[255., 255., 255.], to_rgb=False)
global_transform = dict(
translates=(0.05, 0.05),
zoom=(1.0, 1.5),
shear=(0.86, 1.16),
rotate=(-10., 10.))
relative_transform = dict(
translates=(0.00... | 31.241758 | 78 | 0.631375 | 351 | 2,843 | 4.85755 | 0.2849 | 0.098534 | 0.029326 | 0.024633 | 0.554839 | 0.497947 | 0.44868 | 0.379472 | 0.338416 | 0.231085 | 0 | 0.046188 | 0.215617 | 2,843 | 90 | 79 | 31.588889 | 0.718386 | 0 | 0 | 0.289157 | 0 | 0 | 0.236018 | 0.063665 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4cd4596ad7f6e0187f91e645753c131d68a9a4a | 845 | py | Python | python/orthogonal_test.py | davxy/numeric | 1e8b44a72e1d570433a5ba81ae0795a750ce5921 | [
"Unlicense"
] | 2 | 2020-05-03T17:02:44.000Z | 2022-02-21T04:09:34.000Z | python/orthogonal_test.py | davxy/numeric | 1e8b44a72e1d570433a5ba81ae0795a750ce5921 | [
"Unlicense"
] | null | null | null | python/orthogonal_test.py | davxy/numeric | 1e8b44a72e1d570433a5ba81ae0795a750ce5921 | [
"Unlicense"
] | null | null | null | # Orthogonal linear system solver tests
from math import sqrt
import numpy as np
from orthogonal import orthogonal
################################################################################
# 2x2 orthogonal matrix
A = np.matrix('1 1;'
'1 -1', float)
A = A*1.0/sqrt(2.0)
# Known terms vector
b = ... | 24.142857 | 80 | 0.498225 | 115 | 845 | 3.66087 | 0.313043 | 0.07601 | 0.064133 | 0.095012 | 0.72209 | 0.679335 | 0.546318 | 0.418052 | 0.418052 | 0.285036 | 0 | 0.045858 | 0.2 | 845 | 35 | 81 | 24.142857 | 0.576923 | 0.195266 | 0 | 0.222222 | 0 | 0 | 0.174168 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4cecc18d5f88370e565ff6b3803a9cfe92f4765 | 11,056 | py | Python | src/autonlp/project.py | adbmd/autonlp | 8f7b5559d88775850b6818a09f178dc3407b2ab8 | [
"Apache-2.0"
] | 1 | 2021-03-08T17:47:18.000Z | 2021-03-08T17:47:18.000Z | src/autonlp/project.py | adbmd/autonlp | 8f7b5559d88775850b6818a09f178dc3407b2ab8 | [
"Apache-2.0"
] | null | null | null | src/autonlp/project.py | adbmd/autonlp | 8f7b5559d88775850b6818a09f178dc3407b2ab8 | [
"Apache-2.0"
] | null | null | null | import os
import shutil
from dataclasses import dataclass
from datetime import datetime
from typing import Dict, List, Optional
from huggingface_hub import Repository
from loguru import logger
from prettytable import PrettyTable
from .splits import TEST_SPLIT, TRAIN_SPLIT, VALID_SPLIT
from .tasks import TASKS
from .u... | 38.256055 | 117 | 0.565213 | 1,361 | 11,056 | 4.43277 | 0.187362 | 0.039781 | 0.011934 | 0.017902 | 0.336151 | 0.311454 | 0.282778 | 0.216145 | 0.206365 | 0.154152 | 0 | 0.003864 | 0.297847 | 11,056 | 288 | 118 | 38.388889 | 0.766585 | 0.030391 | 0 | 0.222222 | 0 | 0.032922 | 0.284965 | 0.080135 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.049383 | 0.016461 | 0.230453 | 0.016461 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4d089a89ed2ccdb81f62b6a9415dbcedcf723fa | 25,485 | py | Python | demonstrations/tutorial_kernels_module.py | jamesellis1999/qml | 33c9d66712b36861dc098f9c789ba2c3ab897fdb | [
"Apache-2.0"
] | 216 | 2020-08-01T03:18:37.000Z | 2022-03-25T06:17:52.000Z | demonstrations/tutorial_kernels_module.py | jamesellis1999/qml | 33c9d66712b36861dc098f9c789ba2c3ab897fdb | [
"Apache-2.0"
] | 173 | 2020-08-05T09:24:15.000Z | 2022-03-30T13:37:05.000Z | demonstrations/tutorial_kernels_module.py | jamesellis1999/qml | 33c9d66712b36861dc098f9c789ba2c3ab897fdb | [
"Apache-2.0"
] | 66 | 2020-08-01T05:02:45.000Z | 2022-03-02T19:34:54.000Z | r"""Training and evaluating quantum kernels
===========================================
.. meta::
:property="og:description": Kernels and alignment training with Pennylane.
:property="og:image": https://pennylane.ai/qml/_images/QEK_thumbnail.png
.. related::
tutorial_kernel_based_training Kernel-based tr... | 40.645933 | 157 | 0.655994 | 3,571 | 25,485 | 4.607113 | 0.227667 | 0.021396 | 0.012764 | 0.01167 | 0.12266 | 0.093059 | 0.061634 | 0.04662 | 0.037564 | 0.019572 | 0 | 0.013809 | 0.175947 | 25,485 | 626 | 158 | 40.710863 | 0.769535 | 0.655052 | 0 | 0.138554 | 0 | 0 | 0.066004 | 0.006675 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066265 | false | 0 | 0.03012 | 0.012048 | 0.150602 | 0.042169 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4d1efc02f1792aaf622052d335ddc24c16d8ad6 | 5,465 | py | Python | main.py | scottkaz/PyLoopover | 8f11f559c09747400fe6bb520ab521dbafa90e97 | [
"MIT"
] | null | null | null | main.py | scottkaz/PyLoopover | 8f11f559c09747400fe6bb520ab521dbafa90e97 | [
"MIT"
] | null | null | null | main.py | scottkaz/PyLoopover | 8f11f559c09747400fe6bb520ab521dbafa90e97 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import pygame
import random
import time
##VARIABLES TO CHANGE
width = 500
height = 500
stats_height = 150
board_size = 5
window_name = "PyLoopover "+str(board_size)+"x"+str(board_size)
scramble_turns = 50
t_round = 3
FPS = 30
##DONT CHANGE THESE BOIS
WHITE = (255,255,255)
BLACK = (0,0,0)
GREEN = (3... | 27.882653 | 85 | 0.665691 | 920 | 5,465 | 3.843478 | 0.184783 | 0.047511 | 0.033937 | 0.03733 | 0.369344 | 0.305995 | 0.277149 | 0.260747 | 0.244344 | 0.202489 | 0 | 0.028966 | 0.166148 | 5,465 | 195 | 86 | 28.025641 | 0.746983 | 0.067155 | 0 | 0.236686 | 0 | 0 | 0.086734 | 0.06367 | 0 | 0 | 0 | 0 | 0.005917 | 1 | 0.08284 | false | 0 | 0.017751 | 0 | 0.213018 | 0.023669 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4d42429c658c9fa5c1d797f95b772cf6d3bbc13 | 12,044 | py | Python | csmpe/core_plugins/csm_install_operations/exr/package_lib.py | anushreejangid/csmpe-main | c62ecb3ce4e44b188ed480d06a6d9d21967c6a2a | [
"BSD-2-Clause"
] | null | null | null | csmpe/core_plugins/csm_install_operations/exr/package_lib.py | anushreejangid/csmpe-main | c62ecb3ce4e44b188ed480d06a6d9d21967c6a2a | [
"BSD-2-Clause"
] | 8 | 2017-04-21T05:36:37.000Z | 2017-04-27T15:55:33.000Z | csmpe/core_plugins/csm_install_operations/exr/package_lib.py | anushreejangid/csmpe-main | c62ecb3ce4e44b188ed480d06a6d9d21967c6a2a | [
"BSD-2-Clause"
] | null | null | null | # =============================================================================
#
# Copyright (c) 2016, Cisco Systems
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# Redistributions of source ... | 42.86121 | 117 | 0.574643 | 1,780 | 12,044 | 3.802247 | 0.13764 | 0.027778 | 0.019947 | 0.031028 | 0.494976 | 0.39539 | 0.323286 | 0.259309 | 0.213505 | 0.176566 | 0 | 0.120247 | 0.28811 | 12,044 | 280 | 118 | 43.014286 | 0.669116 | 0.542843 | 0 | 0.238532 | 0 | 0.009174 | 0.092338 | 0.040472 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12844 | false | 0 | 0.009174 | 0.036697 | 0.275229 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4d7101b172b777d4c47f40c60724b8fe87dbf67 | 4,374 | py | Python | chirun/plastex/color/__init__.py | sthagen/chirun-ncl-chirun | 45897319d5203b9867b5d6e00b2db1aa90a6580c | [
"Apache-2.0"
] | 5 | 2021-12-06T15:57:24.000Z | 2022-01-24T20:34:00.000Z | chirun/plastex/color/__init__.py | sthagen/chirun-ncl-chirun | 45897319d5203b9867b5d6e00b2db1aa90a6580c | [
"Apache-2.0"
] | 38 | 2021-12-09T13:16:46.000Z | 2022-03-30T11:42:13.000Z | chirun/plastex/color/__init__.py | sthagen/chirun-ncl-chirun | 45897319d5203b9867b5d6e00b2db1aa90a6580c | [
"Apache-2.0"
] | 1 | 2022-01-17T17:41:35.000Z | 2022-01-17T17:41:35.000Z | from plasTeX import Command, Environment
def ProcessOptions(options, document):
colors = {}
document.userdata.setPath('packages/color/colors', colors)
colors['red'] = latex2htmlcolor('1,0,0')
colors['green'] = latex2htmlcolor('0,1,0')
colors['blue'] = latex2htmlcolor('0,0,1')
colors['cyan'] = ... | 36.45 | 118 | 0.560814 | 509 | 4,374 | 4.819253 | 0.21611 | 0.130453 | 0.054219 | 0.063596 | 0.39788 | 0.304117 | 0.29311 | 0.29311 | 0.29311 | 0.29311 | 0 | 0.049672 | 0.268176 | 4,374 | 119 | 119 | 36.756303 | 0.716651 | 0.001829 | 0 | 0.297872 | 0 | 0 | 0.193903 | 0.033692 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074468 | false | 0.010638 | 0.010638 | 0 | 0.276596 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4d8cf9487b5b92aa26fd31970eb23caa185f9d2 | 816 | py | Python | swm-master/swm-master/calc/mean_e_calc.py | m2lines/subgrid | 3de5d14c5525a62529d43cbafccda716c74e32df | [
"MIT"
] | 1 | 2021-11-03T01:27:16.000Z | 2021-11-03T01:27:16.000Z | swm-master/swm-master/calc/mean_e_calc.py | m2lines/subgrid | 3de5d14c5525a62529d43cbafccda716c74e32df | [
"MIT"
] | null | null | null | swm-master/swm-master/calc/mean_e_calc.py | m2lines/subgrid | 3de5d14c5525a62529d43cbafccda716c74e32df | [
"MIT"
] | 1 | 2021-06-24T15:58:32.000Z | 2021-06-24T15:58:32.000Z | ## PRODUCE MEAN CALCULATIONS AND EXPORT AS .NPY
from __future__ import print_function
path = '/home/mkloewer/python/swm/'
import os; os.chdir(path) # change working directory
import numpy as np
from scipy import sparse
import time as tictoc
from netCDF4 import Dataset
# OPTIONS
runfolder = 15
print('Calculating subgri... | 20.4 | 65 | 0.704657 | 125 | 816 | 4.528 | 0.6 | 0.053004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017291 | 0.14951 | 816 | 39 | 66 | 20.923077 | 0.798271 | 0.153186 | 0 | 0 | 0 | 0 | 0.247788 | 0.038348 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.04 | 0.24 | 0 | 0.24 | 0.2 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4db81ffa51e39a4b08cb2f618fbc4f85e8db0b8 | 3,442 | py | Python | STANchap7.py | phineas-pta/Bayesian-Methods-for-Hackers-using-PyStan | d708faab0fdd43800e8726e2c6dd99452c8dcedb | [
"Unlicense"
] | 1 | 2021-03-18T08:01:32.000Z | 2021-03-18T08:01:32.000Z | STANchap7.py | phineas-pta/Bayesian-Methods-for-Hackers-using-PyStan | d708faab0fdd43800e8726e2c6dd99452c8dcedb | [
"Unlicense"
] | null | null | null | STANchap7.py | phineas-pta/Bayesian-Methods-for-Hackers-using-PyStan | d708faab0fdd43800e8726e2c6dd99452c8dcedb | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np, pandas as pd, arviz as az, prince, matplotlib.pyplot as plt, seaborn as sns
from cmdstanpy import CmdStanModel
#%% load data
data = pd.read_csv("data/overfitting.csv", index_col = 'case_id')
data.columns
data.info()
feature_names = data.columns.str.startswith("... | 31.577982 | 109 | 0.70889 | 498 | 3,442 | 4.714859 | 0.38755 | 0.02385 | 0.025554 | 0.026831 | 0.02385 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012803 | 0.160372 | 3,442 | 108 | 110 | 31.87037 | 0.799654 | 0.105752 | 0 | 0 | 0 | 0 | 0.273342 | 0.01793 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.026316 | 0 | 0.026316 | 0.013158 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4dcaac9477532add98d53c114feaaa486ee4a47 | 4,206 | py | Python | watcher.py | factabulous/matgrindr | 6f5d6d20e34f9b13950d654cf70afdb2e46f5d1e | [
"Apache-2.0"
] | 1 | 2018-03-31T12:15:07.000Z | 2018-03-31T12:15:07.000Z | watcher.py | factabulous/matgrindr | 6f5d6d20e34f9b13950d654cf70afdb2e46f5d1e | [
"Apache-2.0"
] | null | null | null | watcher.py | factabulous/matgrindr | 6f5d6d20e34f9b13950d654cf70afdb2e46f5d1e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import json
import threading
import os
import time
import mats
import sys
import requests
import traceback
import re
from util import debug, error
class MatsLoader(threading.Thread):
"""
Fire and forget loader for materials - will queue a 'mats' event or
an 'error' event if the lo... | 33.11811 | 195 | 0.551831 | 507 | 4,206 | 4.522682 | 0.329389 | 0.0471 | 0.026167 | 0.020933 | 0.297427 | 0.297427 | 0.251199 | 0.251199 | 0.191888 | 0.191888 | 0 | 0.015048 | 0.336424 | 4,206 | 126 | 196 | 33.380952 | 0.806521 | 0.186876 | 0 | 0.2625 | 0 | 0.0125 | 0.131718 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.125 | 0.0125 | 0.35 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4dccf62068146e1f5c5000f7700eb596a2140ec | 1,706 | py | Python | luoxia/pipelines.py | pighui/luoxia | 24daa0f1595fd2b18a4b251acf77321ef98eb534 | [
"MIT"
] | 2 | 2019-11-07T09:27:59.000Z | 2019-11-16T11:36:12.000Z | luoxia/pipelines.py | pighui/luoxia | 24daa0f1595fd2b18a4b251acf77321ef98eb534 | [
"MIT"
] | 5 | 2021-03-31T19:15:38.000Z | 2022-03-02T14:57:57.000Z | luoxia/pipelines.py | pighui/luoxia | 24daa0f1595fd2b18a4b251acf77321ef98eb534 | [
"MIT"
] | 1 | 2019-11-12T12:59:22.000Z | 2019-11-12T12:59:22.000Z | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import os
from scrapy import Request
from scrapy.pipelines.images import ImagesPipeline
from luoxia import settings
class L... | 32.807692 | 76 | 0.601407 | 208 | 1,706 | 4.865385 | 0.456731 | 0.077075 | 0.027668 | 0.043478 | 0.126482 | 0.126482 | 0.059289 | 0 | 0 | 0 | 0 | 0.00241 | 0.270223 | 1,706 | 52 | 77 | 32.807692 | 0.810442 | 0.141266 | 0 | 0.057143 | 0 | 0 | 0.081731 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.114286 | 0 | 0.371429 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4df00044c8b020894b3ff8a98bbdaaae75f9a17 | 6,949 | py | Python | aws_sagemaker_studio/frameworks/tensorflow_mnist/mnist.py | jpmarques19/tensorflwo-test | 0ff8b06e0415075c7269820d080284a42595bb2e | [
"Apache-2.0"
] | 5 | 2019-01-19T23:53:35.000Z | 2022-01-29T14:04:31.000Z | aws_sagemaker_studio/frameworks/tensorflow_mnist/mnist.py | jpmarques19/tensorflwo-test | 0ff8b06e0415075c7269820d080284a42595bb2e | [
"Apache-2.0"
] | 4 | 2020-09-26T01:25:36.000Z | 2021-08-25T16:10:50.000Z | aws_sagemaker_studio/frameworks/tensorflow_mnist/mnist.py | jpmarques19/tensorflwo-test | 0ff8b06e0415075c7269820d080284a42595bb2e | [
"Apache-2.0"
] | 7 | 2020-03-04T22:23:51.000Z | 2021-07-13T14:05:46.000Z | # Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | 37.160428 | 94 | 0.689164 | 991 | 6,949 | 4.665994 | 0.283552 | 0.031142 | 0.048443 | 0.060554 | 0.293253 | 0.234429 | 0.218426 | 0.190311 | 0.156574 | 0.128893 | 0 | 0.031425 | 0.203195 | 6,949 | 186 | 95 | 37.360215 | 0.803684 | 0.361923 | 0 | 0.065934 | 0 | 0 | 0.059835 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054945 | false | 0 | 0.065934 | 0 | 0.197802 | 0.010989 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4e1891a34dd9a85739bf4476b3f8a83de7af2b1 | 6,002 | py | Python | common/util/autoware_debug_tools/scripts/stop_reason2pose.py | loop-perception/AutowareArchitectureProposal.iv | 5d8dff0db51634f0c42d2a3e87ca423fbee84348 | [
"Apache-2.0"
] | 12 | 2020-09-25T08:52:59.000Z | 2020-10-05T02:39:31.000Z | common/util/autoware_debug_tools/scripts/stop_reason2pose.py | loop-perception/AutowareArchitectureProposal.iv | 5d8dff0db51634f0c42d2a3e87ca423fbee84348 | [
"Apache-2.0"
] | 7 | 2021-12-13T04:28:48.000Z | 2022-03-14T13:53:15.000Z | common/util/autoware_debug_tools/scripts/stop_reason2pose.py | taikitanaka3/AutowareArchitectureProposal.iv | 0d47ea532118c98458516a8c83fbdab3d27c6231 | [
"Apache-2.0"
] | 9 | 2020-09-27T05:27:09.000Z | 2020-10-08T03:14:25.000Z | #! /usr/bin/env python3
# Copyright 2020 Tier IV, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 35.72619 | 94 | 0.653615 | 774 | 6,002 | 4.724806 | 0.228682 | 0.075198 | 0.039103 | 0.04676 | 0.255674 | 0.232158 | 0.152858 | 0.091332 | 0.03883 | 0.03883 | 0 | 0.012745 | 0.267911 | 6,002 | 167 | 95 | 35.94012 | 0.819527 | 0.105465 | 0 | 0.111111 | 0 | 0 | 0.031758 | 0.024846 | 0 | 0 | 0 | 0 | 0 | 1 | 0.094017 | false | 0 | 0.094017 | 0.008547 | 0.307692 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4e335bc88c686cd971644ea0114064bbbe14924 | 1,551 | py | Python | US Flag.py | Code-Master1234/Turtle_Flags_File_Hub | d99f8bc05c4f2280f8c91cdda14005ef9c5d6236 | [
"MIT"
] | null | null | null | US Flag.py | Code-Master1234/Turtle_Flags_File_Hub | d99f8bc05c4f2280f8c91cdda14005ef9c5d6236 | [
"MIT"
] | null | null | null | US Flag.py | Code-Master1234/Turtle_Flags_File_Hub | d99f8bc05c4f2280f8c91cdda14005ef9c5d6236 | [
"MIT"
] | null | null | null | import turtle as t
def rectangle(horizontal, vertical, color):
t.pendown()
t.pensize(1)
t.color(color)
t.begin_fill()
for counter in range(2):
t.forward(horizontal)
t.right(90)
t.forward(vertical)
t.right(90)
t.end_fill()
t.penup()
def star(le... | 19.884615 | 44 | 0.550613 | 218 | 1,551 | 3.899083 | 0.288991 | 0.075294 | 0.098824 | 0.14 | 0.348235 | 0.270588 | 0.176471 | 0.176471 | 0.176471 | 0.176471 | 0 | 0.089732 | 0.30303 | 1,551 | 77 | 45 | 20.142857 | 0.696577 | 0 | 0 | 0.560606 | 0 | 0 | 0.019674 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.015152 | 0 | 0.045455 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4e4309129dbca39258000122d1486ad109432d7 | 1,107 | py | Python | linked-list/delete_zero_sum_nodes.py | bryanlimy/technical-interview | f888a4fb2bc4d34dda6cd74b6e4215f46d5ce6d6 | [
"MIT"
] | 3 | 2020-01-20T05:12:52.000Z | 2022-02-09T15:21:42.000Z | linked-list/delete_zero_sum_nodes.py | bryanlimy/technical-interview | f888a4fb2bc4d34dda6cd74b6e4215f46d5ce6d6 | [
"MIT"
] | null | null | null | linked-list/delete_zero_sum_nodes.py | bryanlimy/technical-interview | f888a4fb2bc4d34dda6cd74b6e4215f46d5ce6d6 | [
"MIT"
] | null | null | null | # Given a linked list, remove consecutive nodes that sums up to zero
# https://www.careercup.com/question?id=5717797377146880
from util import *
def remove_zero_sum(head):
start = head
new = None
root = None
while start:
end = start.next
total = start.value
zero = False
... | 26.357143 | 68 | 0.525745 | 153 | 1,107 | 3.673203 | 0.457516 | 0.071174 | 0.046263 | 0.060498 | 0.074733 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089362 | 0.363144 | 1,107 | 41 | 69 | 27 | 0.707801 | 0.109304 | 0 | 0 | 0 | 0 | 0.010173 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.029412 | 0 | 0.088235 | 0.088235 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4e708b09e82bdf3236441c1829a0dda6f660d73 | 2,383 | py | Python | src/azure-cli/azure/cli/command_modules/maps/custom.py | psignoret/azure-cli | 1a4a043750315f9a7f2894b4287126089978b615 | [
"MIT"
] | 1 | 2019-11-15T17:28:05.000Z | 2019-11-15T17:28:05.000Z | src/azure-cli/azure/cli/command_modules/maps/custom.py | psignoret/azure-cli | 1a4a043750315f9a7f2894b4287126089978b615 | [
"MIT"
] | 2 | 2021-01-15T09:24:07.000Z | 2021-01-15T09:30:10.000Z | src/azure-cli/azure/cli/command_modules/maps/custom.py | psignoret/azure-cli | 1a4a043750315f9a7f2894b4287126089978b615 | [
"MIT"
] | 1 | 2019-11-25T19:33:05.000Z | 2019-11-25T19:33:05.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 40.389831 | 107 | 0.669744 | 289 | 2,383 | 5.304498 | 0.377163 | 0.059361 | 0.066536 | 0.09002 | 0.174821 | 0.123288 | 0.099152 | 0.099152 | 0.099152 | 0 | 0 | 0.000517 | 0.188418 | 2,383 | 58 | 108 | 41.086207 | 0.792141 | 0.246748 | 0 | 0 | 0 | 0 | 0.170499 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.117647 | 0 | 0.323529 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4e813b035bc0fbeece6fd5910d8e62ac5025f2b | 5,558 | py | Python | examples/wsdm2022/run_seqreco_B.py | Leavingseason/wsdm2022-seqrecsys | 4659edb93a96300d7a52bb0e1b9c912e3fae2a76 | [
"MIT"
] | null | null | null | examples/wsdm2022/run_seqreco_B.py | Leavingseason/wsdm2022-seqrecsys | 4659edb93a96300d7a52bb0e1b9c912e3fae2a76 | [
"MIT"
] | null | null | null | examples/wsdm2022/run_seqreco_B.py | Leavingseason/wsdm2022-seqrecsys | 4659edb93a96300d7a52bb0e1b9c912e3fae2a76 | [
"MIT"
] | null | null | null | import sys
import os
from tempfile import TemporaryDirectory
import numpy as np
import tensorflow.compat.v1 as tf
tf.get_logger().setLevel('ERROR') # only show error messages
from recommenders.utils.timer import Timer
from recommenders.utils.constants import SEED
from recommenders.models.deeprec.deeprec_utils import ... | 37.302013 | 221 | 0.690896 | 803 | 5,558 | 4.579078 | 0.332503 | 0.039162 | 0.040794 | 0.053304 | 0.299429 | 0.276312 | 0.251292 | 0.208594 | 0.100626 | 0.045689 | 0 | 0.067206 | 0.199532 | 5,558 | 149 | 222 | 37.302013 | 0.759272 | 0.368658 | 0 | 0 | 0 | 0 | 0.12291 | 0.038428 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.164384 | 0 | 0.164384 | 0.09589 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4e8209a5a512c6f4d48304a062ee3d210b0266c | 11,222 | py | Python | ctypesgen/ctypedescs.py | fgrie/ctypesgen | bc1627648a1479cefd1a2c3c261dd0471358cfff | [
"BSD-2-Clause"
] | null | null | null | ctypesgen/ctypedescs.py | fgrie/ctypesgen | bc1627648a1479cefd1a2c3c261dd0471358cfff | [
"BSD-2-Clause"
] | null | null | null | ctypesgen/ctypedescs.py | fgrie/ctypesgen | bc1627648a1479cefd1a2c3c261dd0471358cfff | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
"""
ctypesgen.ctypedescs contains classes to represent a C type. All of them
classes are subclasses of CtypesType.
Unlike in previous versions of ctypesgen, CtypesType and its subclasses are
completely independent of the parser module.
The most important method of CtypesType and its subclasses ... | 28.848329 | 90 | 0.621012 | 1,400 | 11,222 | 4.753571 | 0.175714 | 0.008715 | 0.023441 | 0.015778 | 0.310744 | 0.212021 | 0.164538 | 0.154621 | 0.1429 | 0.1429 | 0 | 0.011639 | 0.257352 | 11,222 | 388 | 91 | 28.92268 | 0.786897 | 0.125379 | 0 | 0.279245 | 0 | 0 | 0.070947 | 0.002453 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192453 | false | 0.018868 | 0.003774 | 0.05283 | 0.350943 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4e9e1912fd06e0dea7f2e62b354d4050bf65bf1 | 1,769 | py | Python | app/volume/admin_process.py | cleve/varidb | fc1b10aa4d708cee1c83909f10773948cee0c539 | [
"Apache-2.0"
] | null | null | null | app/volume/admin_process.py | cleve/varidb | fc1b10aa4d708cee1c83909f10773948cee0c539 | [
"Apache-2.0"
] | 6 | 2020-11-05T02:18:15.000Z | 2022-03-12T00:50:09.000Z | app/volume/admin_process.py | cleve/pulzar | fc1b10aa4d708cee1c83909f10773948cee0c539 | [
"Apache-2.0"
] | null | null | null | from pulzarutils.utils import Utils
from pulzarutils.utils import Constants
from pulzarutils.messenger import Messenger
from pulzarcore.core_db import DB
class AdminProcess:
"""Handle admin operations from manage
"""
def __init__(self, logger):
self.TAG = self.__class__.__name__
self.logg... | 38.456522 | 84 | 0.611645 | 203 | 1,769 | 5.029557 | 0.389163 | 0.127326 | 0.058766 | 0.061704 | 0.246817 | 0.054848 | 0 | 0 | 0 | 0 | 0 | 0.003247 | 0.303561 | 1,769 | 45 | 85 | 39.311111 | 0.825487 | 0.05766 | 0 | 0.058824 | 0 | 0 | 0.048309 | 0.019324 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.117647 | 0 | 0.235294 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4ea75a1746392a1bad32c927e9dd06c16722c29 | 2,767 | py | Python | tests/ssg_test_suite/profile.py | fduthilleul/scap-security-guide | f9b67869600f6c20dcb0ba83801578cec1a51bba | [
"BSD-3-Clause"
] | null | null | null | tests/ssg_test_suite/profile.py | fduthilleul/scap-security-guide | f9b67869600f6c20dcb0ba83801578cec1a51bba | [
"BSD-3-Clause"
] | null | null | null | tests/ssg_test_suite/profile.py | fduthilleul/scap-security-guide | f9b67869600f6c20dcb0ba83801578cec1a51bba | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python2
from __future__ import print_function
import atexit
import logging
import sys
import ssg_test_suite.oscap
import ssg_test_suite.virt
from ssg_test_suite.rule import get_viable_profiles
from ssg_test_suite.virt import SnapshotStack
logging.getLogger(__name__).addHandler(logging.NullHandler())
... | 38.971831 | 76 | 0.553668 | 272 | 2,767 | 5.411765 | 0.422794 | 0.047554 | 0.081522 | 0.054348 | 0.205163 | 0.181386 | 0.181386 | 0.149457 | 0.149457 | 0.120924 | 0 | 0.00236 | 0.387423 | 2,767 | 70 | 77 | 39.528571 | 0.866077 | 0.155403 | 0 | 0.313725 | 0 | 0 | 0.037278 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.156863 | 0 | 0.176471 | 0.019608 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4eb283ef9b63b6cf71ae47aefac07d2d47fad48 | 4,218 | py | Python | lib/wtforms/ext/appengine/fields.py | solidaritreebiz/Solidaritree | 15cc2e10e4cec56eb4fe218166d4157fcce9bf8d | [
"MIT"
] | 43 | 2015-01-02T11:59:27.000Z | 2021-06-03T18:47:09.000Z | wtforms/ext/appengine/fields.py | skorokithakis/landing-page | d800decb3a36519e2dd86826f660f5fa4f62cf5c | [
"MIT"
] | 1 | 2018-07-17T11:46:14.000Z | 2018-07-17T11:46:14.000Z | wtforms/ext/appengine/fields.py | skorokithakis/landing-page | d800decb3a36519e2dd86826f660f5fa4f62cf5c | [
"MIT"
] | 6 | 2018-07-14T04:58:02.000Z | 2018-08-06T18:02:27.000Z | import decimal
import operator
import warnings
from wtforms import fields, widgets
class ReferencePropertyField(fields.SelectFieldBase):
"""
A field for ``db.ReferenceProperty``. The list items are rendered in a
select.
:param reference_class:
A db.Model class which will be used to generate t... | 35.745763 | 116 | 0.598151 | 525 | 4,218 | 4.657143 | 0.272381 | 0.045808 | 0.02454 | 0.014724 | 0.16319 | 0.13865 | 0.130061 | 0.091616 | 0.025358 | 0.025358 | 0 | 0.00242 | 0.314367 | 4,218 | 117 | 117 | 36.051282 | 0.843015 | 0.210526 | 0 | 0.220779 | 0 | 0 | 0.046986 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.116883 | false | 0 | 0.051948 | 0 | 0.272727 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4eb7fe555f324704c58058f0e711c3b4fd6b7fe | 3,947 | py | Python | mtrainsimulator.py | trevor-wieland/MTrainAI | 47bab3bf3af9e5426a822a7d14586f1798674cd7 | [
"MIT"
] | null | null | null | mtrainsimulator.py | trevor-wieland/MTrainAI | 47bab3bf3af9e5426a822a7d14586f1798674cd7 | [
"MIT"
] | null | null | null | mtrainsimulator.py | trevor-wieland/MTrainAI | 47bab3bf3af9e5426a822a7d14586f1798674cd7 | [
"MIT"
] | null | null | null | import mtrain
import numpy as np
import pandas as pd
import random
def simulate_games(num_players=4, domino_size=12, num_games=250, collect_data=True,
debug=False, players=["Random", "Greedy", "Probability", "Neural"],
file_name="PlayData/data4_12_250"):
"""
Runs the m... | 42.902174 | 111 | 0.64682 | 520 | 3,947 | 4.730769 | 0.307692 | 0.056911 | 0.036992 | 0.030894 | 0.134553 | 0.105285 | 0.02439 | 0.02439 | 0 | 0 | 0 | 0.009037 | 0.271092 | 3,947 | 92 | 112 | 42.902174 | 0.84602 | 0.335191 | 0 | 0.169811 | 0 | 0 | 0.092476 | 0.008229 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018868 | false | 0 | 0.075472 | 0 | 0.113208 | 0.037736 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4ec2af4e9b7cc307999482d71c793953e387022 | 3,336 | py | Python | licenseplates/dataset.py | VaranRohila/apn | dbb5b814233accbbb49b9bfe12b7162402e3b267 | [
"MIT"
] | null | null | null | licenseplates/dataset.py | VaranRohila/apn | dbb5b814233accbbb49b9bfe12b7162402e3b267 | [
"MIT"
] | null | null | null | licenseplates/dataset.py | VaranRohila/apn | dbb5b814233accbbb49b9bfe12b7162402e3b267 | [
"MIT"
] | null | null | null | ##############################################################################
#
# Below code is inspired on
# https://github.com/facebookresearch/detectron2/blob/master/detectron2/data/datasets/pascal_voc.py
# --------------------------------------------------------
# Detectron2
# Licensed under the Apache 2.0 license... | 32.705882 | 100 | 0.579436 | 364 | 3,336 | 5.162088 | 0.428571 | 0.029271 | 0.038318 | 0.027142 | 0.022352 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010317 | 0.244604 | 3,336 | 101 | 101 | 33.029703 | 0.735317 | 0.147482 | 0 | 0 | 0 | 0 | 0.10293 | 0.027106 | 0 | 0 | 0.001465 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.15625 | 0 | 0.203125 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4ece3f334aeba88cd76ec065663f9e04ac41d64 | 354 | py | Python | docs/examples/pytorch/resnet50/scripts/test_read_speed.py | RogerChern/DALI | be143c3bb35458549e273608f1683a99ae41968e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | docs/examples/pytorch/resnet50/scripts/test_read_speed.py | RogerChern/DALI | be143c3bb35458549e273608f1683a99ae41968e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | docs/examples/pytorch/resnet50/scripts/test_read_speed.py | RogerChern/DALI | be143c3bb35458549e273608f1683a99ae41968e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import glob
import time
import random
filelist = glob.glob('/mnt/lustre/chenyuntao1/datasets/imagenet/train/*/*')
random.shuffle(filelist)
begin = time.time()
for i, f in enumerate(filelist):
if i == 10000:
break
with open(f, "rb") as fin:
result = fin.read()
end = time.time()
print("%.1f im... | 20.823529 | 75 | 0.641243 | 50 | 354 | 4.54 | 0.66 | 0.070485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042105 | 0.194915 | 354 | 17 | 76 | 20.823529 | 0.754386 | 0 | 0 | 0 | 0 | 0 | 0.185915 | 0.143662 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 0.076923 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4eced841f40608be5ce0f25f32b14e3f8c5be34 | 12,864 | py | Python | ocellaris/solver_parts/boundary_conditions/dirichlet.py | TormodLandet/Ocellaris | 6b4b2515fb881b1ed8d8fd8d8c23a8e1990ada58 | [
"Apache-2.0"
] | 1 | 2017-11-07T12:19:44.000Z | 2017-11-07T12:19:44.000Z | ocellaris/solver_parts/boundary_conditions/dirichlet.py | TormodLandet/Ocellaris | 6b4b2515fb881b1ed8d8fd8d8c23a8e1990ada58 | [
"Apache-2.0"
] | null | null | null | ocellaris/solver_parts/boundary_conditions/dirichlet.py | TormodLandet/Ocellaris | 6b4b2515fb881b1ed8d8fd8d8c23a8e1990ada58 | [
"Apache-2.0"
] | 2 | 2018-05-02T17:17:01.000Z | 2019-03-11T13:09:40.000Z | # Copyright (C) 2015-2019 Tormod Landet
# SPDX-License-Identifier: Apache-2.0
import dolfin
from . import register_boundary_condition, BoundaryConditionCreator
from ocellaris.utils import (
CodedExpression,
OcellarisCppExpression,
OcellarisError,
verify_field_variable_definition,
)
class OcellarisDir... | 38.981818 | 108 | 0.615127 | 1,464 | 12,864 | 5.232924 | 0.148907 | 0.049341 | 0.060305 | 0.014097 | 0.598747 | 0.553975 | 0.516121 | 0.475134 | 0.464822 | 0.452813 | 0 | 0.003504 | 0.290112 | 12,864 | 329 | 109 | 39.100304 | 0.835414 | 0.143968 | 0 | 0.35023 | 0 | 0 | 0.091354 | 0.001976 | 0 | 0 | 0 | 0.00304 | 0.032258 | 1 | 0.073733 | false | 0 | 0.013825 | 0.004608 | 0.156682 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4ee6e97a2bc58c8bc3ccf8cb1ebf6364e70cd9d | 3,906 | py | Python | python/chronos/test/bigdl/chronos/forecaster/tf/test_seq2seq_keras_forecaster.py | Forest216/BigDL | 840da9a2eaf395978dd83730b02aa5e5dfbd7989 | [
"Apache-2.0"
] | null | null | null | python/chronos/test/bigdl/chronos/forecaster/tf/test_seq2seq_keras_forecaster.py | Forest216/BigDL | 840da9a2eaf395978dd83730b02aa5e5dfbd7989 | [
"Apache-2.0"
] | null | null | null | python/chronos/test/bigdl/chronos/forecaster/tf/test_seq2seq_keras_forecaster.py | Forest216/BigDL | 840da9a2eaf395978dd83730b02aa5e5dfbd7989 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2016 The BigDL Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 38.294118 | 84 | 0.615463 | 491 | 3,906 | 4.627291 | 0.325866 | 0.045775 | 0.022007 | 0.02993 | 0.305018 | 0.263644 | 0.240317 | 0.180458 | 0.128521 | 0.128521 | 0 | 0.0279 | 0.302611 | 3,906 | 101 | 85 | 38.673267 | 0.806167 | 0.142089 | 0 | 0.253521 | 0 | 0 | 0.017991 | 0 | 0 | 0 | 0 | 0 | 0.084507 | 1 | 0.098592 | false | 0.014085 | 0.112676 | 0 | 0.253521 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4eeb6ee82889a7b906d047189dd7b8bb9659a33 | 1,922 | py | Python | examples/SubOrbitalFlight.py | nicolaikd/sl-ksp | cc1e239570e10428d11a41a26b33947b54f7f0ec | [
"MIT"
] | 7 | 2021-01-11T15:39:56.000Z | 2021-08-21T18:44:04.000Z | examples/SubOrbitalFlight.py | nicolaikd/sl-ksp | cc1e239570e10428d11a41a26b33947b54f7f0ec | [
"MIT"
] | 1 | 2021-04-17T13:07:41.000Z | 2021-04-21T16:21:35.000Z | examples/SubOrbitalFlight.py | nicolaikd/sl-ksp | cc1e239570e10428d11a41a26b33947b54f7f0ec | [
"MIT"
] | 2 | 2021-03-17T16:36:23.000Z | 2021-05-05T14:40:59.000Z | import time
import krpc
conn = krpc.connect(name='Sub-orbital flight')
vessel = conn.space_center.active_vessel
vessel.auto_pilot.target_pitch_and_heading(90, 90)
vessel.auto_pilot.engage()
vessel.control.throttle = 1
time.sleep(1)
print('Launch!')
vessel.control.activate_next_stage()
fuel_amount = conn.get_call(ve... | 30.03125 | 77 | 0.774714 | 270 | 1,922 | 5.32963 | 0.277778 | 0.09451 | 0.150104 | 0.069493 | 0.612231 | 0.52328 | 0.417651 | 0.314802 | 0.314802 | 0.314802 | 0 | 0.018933 | 0.093132 | 1,922 | 63 | 78 | 30.507937 | 0.806655 | 0 | 0 | 0.442308 | 0 | 0 | 0.084287 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 0.115385 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4efd4c2ab810bf4c725de159e2f410b24aea731 | 18,031 | py | Python | ramp-database/ramp_database/tools/leaderboard.py | kegl/ramp-board | 6373bf02efc096e02b26320e4f11edd00f9e5752 | [
"BSD-3-Clause"
] | null | null | null | ramp-database/ramp_database/tools/leaderboard.py | kegl/ramp-board | 6373bf02efc096e02b26320e4f11edd00f9e5752 | [
"BSD-3-Clause"
] | null | null | null | ramp-database/ramp_database/tools/leaderboard.py | kegl/ramp-board | 6373bf02efc096e02b26320e4f11edd00f9e5752 | [
"BSD-3-Clause"
] | null | null | null | from distutils.version import LooseVersion
from itertools import product
import numpy as np
import pandas as pd
from ..model.event import Event
from ..model.event import EventTeam
from ..model.submission import Submission
from ..model.team import Team
from .team import get_event_team_by_name
from .submission import... | 39.455142 | 79 | 0.619378 | 2,147 | 18,031 | 4.984164 | 0.117373 | 0.032801 | 0.019624 | 0.026726 | 0.560508 | 0.469489 | 0.412765 | 0.366601 | 0.3552 | 0.34165 | 0 | 0.001917 | 0.276801 | 18,031 | 456 | 80 | 39.541667 | 0.818712 | 0.217071 | 0 | 0.236934 | 0 | 0 | 0.111516 | 0.003134 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020906 | false | 0 | 0.045296 | 0 | 0.083624 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f07209eebdfab152cf385342225e58c7210495 | 623 | py | Python | projects/boring_stuff/03_functions/ZigZag.py | SavantLogics/Visual_Studio_Python_Scripts-master | 9e3c5f8a8f685f9ae51045af9260ccc28f89d72f | [
"MIT"
] | null | null | null | projects/boring_stuff/03_functions/ZigZag.py | SavantLogics/Visual_Studio_Python_Scripts-master | 9e3c5f8a8f685f9ae51045af9260ccc28f89d72f | [
"MIT"
] | null | null | null | projects/boring_stuff/03_functions/ZigZag.py | SavantLogics/Visual_Studio_Python_Scripts-master | 9e3c5f8a8f685f9ae51045af9260ccc28f89d72f | [
"MIT"
] | null | null | null | #Automate the Boring Stuff with Python
import time, sys
indent = 0 # How many spaces to indent
indent_Increasing = True # Whether the indentation is increasing or not
try:
while True: # The main program loop
print(' ' * indent, end='')
print('********')
time.sleep(0.1) # Pause for 1/10th o... | 27.086957 | 71 | 0.569823 | 74 | 623 | 4.743243 | 0.594595 | 0.182336 | 0.11396 | 0.08547 | 0.119658 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026764 | 0.340289 | 623 | 23 | 72 | 27.086957 | 0.827251 | 0.255217 | 0 | 0.111111 | 0 | 0 | 0.019565 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0.111111 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f145e4f5e9df82c3ed3f3cc3dee6abaad4fc6c | 838 | py | Python | setup.py | sequentialchaos/i3-workspace-swap | 86646066b9f971c1ff130a642a914ab2db8f9ae6 | [
"MIT"
] | null | null | null | setup.py | sequentialchaos/i3-workspace-swap | 86646066b9f971c1ff130a642a914ab2db8f9ae6 | [
"MIT"
] | null | null | null | setup.py | sequentialchaos/i3-workspace-swap | 86646066b9f971c1ff130a642a914ab2db8f9ae6 | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="i3-workspace-swap",
description='A python utility swap the content of two workplaces in i3wm',
long_description=long_description,
long_description_content_type="text/markdown",
version="1... | 27.032258 | 78 | 0.658711 | 98 | 838 | 5.530612 | 0.693878 | 0.110701 | 0.083026 | 0.110701 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01632 | 0.195704 | 838 | 30 | 79 | 27.933333 | 0.787834 | 0 | 0 | 0 | 0 | 0 | 0.434368 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.041667 | 0 | 0.041667 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f450e40179e22e5b7878cbc391794da9f23b06 | 14,026 | py | Python | Cogs/Actions.py | MrAngelDo6pa/MedBotS | 89e19d831507e20d0898114502967b2ad8ecf957 | [
"MIT"
] | 2 | 2021-09-28T10:40:10.000Z | 2021-11-07T14:49:07.000Z | Cogs/Actions.py | ddoskid/lol12 | 35c097bbebeca3043a939b902b07474473344a3c | [
"MIT"
] | null | null | null | Cogs/Actions.py | ddoskid/lol12 | 35c097bbebeca3043a939b902b07474473344a3c | [
"MIT"
] | null | null | null | import asyncio
import discord
import random
import datetime
from discord.ext import commands
from Cogs import DisplayName
from Cogs import Nullify
def setup(bot):
# Add the bot
bot.add_cog(Actions(bot))
class Actions(commands.Cog):
## class that handles storing and computing action messages
class actionable... | 51.566176 | 138 | 0.654855 | 2,115 | 14,026 | 4.336643 | 0.277069 | 0.012211 | 0.009594 | 0.008395 | 0.222634 | 0.159834 | 0.15133 | 0.125818 | 0.115351 | 0.108373 | 0 | 0.011069 | 0.220662 | 14,026 | 271 | 139 | 51.756458 | 0.827921 | 0.063454 | 0 | 0.107296 | 0 | 0.025751 | 0.527412 | 0.006169 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012876 | false | 0.025751 | 0.030043 | 0 | 0.107296 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f46e1bb0a2bc679bb20e6fc52d23194cb01643 | 7,830 | py | Python | marltoolbox/examples/tune_function_api/lola_pg_official.py | tobiasbaumann1/amd | cb6190be92dea54db04ef9202d381b96f6f6218b | [
"MIT"
] | null | null | null | marltoolbox/examples/tune_function_api/lola_pg_official.py | tobiasbaumann1/amd | cb6190be92dea54db04ef9202d381b96f6f6218b | [
"MIT"
] | null | null | null | marltoolbox/examples/tune_function_api/lola_pg_official.py | tobiasbaumann1/amd | cb6190be92dea54db04ef9202d381b96f6f6218b | [
"MIT"
] | null | null | null | ##########
# Additional dependencies are needed:
# Follow the LOLA installation described in the tune_class_api/lola_pg_official.py file
##########
import os
import ray
from ray import tune
import marltoolbox.algos.lola.envs as lola_envs
import marltoolbox.algos.lola_dice.envs as lola_dice_envs
from marltoolbox.algos... | 37.826087 | 116 | 0.577395 | 937 | 7,830 | 4.493063 | 0.168623 | 0.12114 | 0.045606 | 0.04323 | 0.471734 | 0.4 | 0.354632 | 0.346556 | 0.313777 | 0.295249 | 0 | 0.013686 | 0.318774 | 7,830 | 206 | 117 | 38.009709 | 0.775591 | 0.038314 | 0 | 0.30303 | 0 | 0 | 0.153887 | 0.006134 | 0 | 0 | 0 | 0 | 0.018182 | 1 | 0.024242 | false | 0 | 0.048485 | 0 | 0.084848 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f5c78a68ce3ab44360536293de688747eefa47 | 1,327 | py | Python | moto/dynamodbstreams/responses.py | jonnangle/moto-1 | 40b4e299abb732aad7f56cc0f680c0a272a46594 | [
"Apache-2.0"
] | 3 | 2020-08-04T20:29:41.000Z | 2020-11-09T09:28:19.000Z | moto/dynamodbstreams/responses.py | jonnangle/moto-1 | 40b4e299abb732aad7f56cc0f680c0a272a46594 | [
"Apache-2.0"
] | 17 | 2020-08-28T12:53:56.000Z | 2020-11-10T01:04:46.000Z | moto/dynamodbstreams/responses.py | jonnangle/moto-1 | 40b4e299abb732aad7f56cc0f680c0a272a46594 | [
"Apache-2.0"
] | 2 | 2017-03-02T05:59:52.000Z | 2020-09-03T13:25:44.000Z | from __future__ import unicode_literals
from moto.core.responses import BaseResponse
from .models import dynamodbstreams_backends
from six import string_types
class DynamoDBStreamsHandler(BaseResponse):
@property
def backend(self):
return dynamodbstreams_backends[self.region]
def describe_strea... | 32.365854 | 75 | 0.699322 | 155 | 1,327 | 5.670968 | 0.367742 | 0.063709 | 0.109215 | 0.047782 | 0.085324 | 0.063709 | 0 | 0 | 0 | 0 | 0 | 0.00388 | 0.22306 | 1,327 | 40 | 76 | 33.175 | 0.848691 | 0.048983 | 0 | 0.066667 | 0 | 0 | 0.065873 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.133333 | 0.033333 | 0.5 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f6462a075ffe065a5c5d813a1e145ed305cf7d | 962 | py | Python | tools/mo/openvino/tools/mo/front/mxnet/zeros_ext.py | ytorzuk-altran/openvino | 68d460a3bb578a738ba0e4d0e1f2e321afa73ab0 | [
"Apache-2.0"
] | 1 | 2021-04-20T08:14:51.000Z | 2021-04-20T08:14:51.000Z | tools/mo/openvino/tools/mo/front/mxnet/zeros_ext.py | ytorzuk-altran/openvino | 68d460a3bb578a738ba0e4d0e1f2e321afa73ab0 | [
"Apache-2.0"
] | 55 | 2020-11-16T09:55:29.000Z | 2022-03-28T13:18:15.000Z | tools/mo/openvino/tools/mo/front/mxnet/zeros_ext.py | ytorzuk-altran/openvino | 68d460a3bb578a738ba0e4d0e1f2e321afa73ab0 | [
"Apache-2.0"
] | 1 | 2021-02-15T01:13:57.000Z | 2021-02-15T01:13:57.000Z | # Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from openvino.tools.mo.front.extractor import FrontExtractorOp
from openvino.tools.mo.front.mxnet.extractors.utils import get_mxnet_layer_attrs
from openvino.tools.mo.ops.const import Const
class ZerosFrontExtractor... | 28.294118 | 80 | 0.637214 | 120 | 962 | 4.975 | 0.558333 | 0.067002 | 0.085427 | 0.095477 | 0.080402 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017021 | 0.267152 | 962 | 33 | 81 | 29.151515 | 0.829787 | 0.115385 | 0 | 0 | 0 | 0 | 0.03778 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.173913 | 0 | 0.391304 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f6ca3a52378c092fed2c8021d1ffb5c3d7441c | 882 | py | Python | SimpleSimulator/samuelator.py | Anindya-Prithvi/CO_M21_Assignment | 524bd2b866dd58a6358354cda65e2136ecd46e50 | [
"Apache-2.0"
] | 3 | 2021-09-11T05:58:46.000Z | 2021-12-21T14:03:20.000Z | SimpleSimulator/samuelator.py | sc0rp10n-py/CO_M21_Assignment | 524bd2b866dd58a6358354cda65e2136ecd46e50 | [
"Apache-2.0"
] | null | null | null | SimpleSimulator/samuelator.py | sc0rp10n-py/CO_M21_Assignment | 524bd2b866dd58a6358354cda65e2136ecd46e50 | [
"Apache-2.0"
] | 3 | 2021-09-05T12:55:38.000Z | 2022-03-18T02:51:29.000Z | import sys
import warnings
import matplotlib.pyplot as plt
from parsets import IMACC, IMG, PROGC, REGFLPC, ExecE, plot
warnings.filterwarnings("ignore")
MEM = IMACC(sys.stdin.read()) # Load memory from stdin
PC = PROGC(0) # Start from the first instruction
RF = REGFLPC() # initialize register and flags
EE = ExecE... | 22.615385 | 77 | 0.672336 | 134 | 882 | 4.373134 | 0.492537 | 0.03413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012968 | 0.213152 | 882 | 38 | 78 | 23.210526 | 0.831412 | 0.222222 | 0 | 0 | 0 | 0 | 0.01037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f722d8fa5429ebec246908bcfdfc1e45bff80b | 5,884 | py | Python | utils/converters.py | LiReNa00/JDBot | c85b31e272d5394ba5debc26b8b5357fb9d3d844 | [
"MIT"
] | null | null | null | utils/converters.py | LiReNa00/JDBot | c85b31e272d5394ba5debc26b8b5357fb9d3d844 | [
"MIT"
] | null | null | null | utils/converters.py | LiReNa00/JDBot | c85b31e272d5394ba5debc26b8b5357fb9d3d844 | [
"MIT"
] | null | null | null | import discord
import re
import emoji
import contextlib
import typing
import datetime
from discord.ext import commands
from discord.http import Route
class BetterMemberConverter(commands.Converter):
async def convert(self, ctx, argument):
try:
user = await commands.MemberConverter().convert(ct... | 31.132275 | 127 | 0.593644 | 683 | 5,884 | 5.080527 | 0.29429 | 0.0317 | 0.025937 | 0.036023 | 0.274352 | 0.243228 | 0.231412 | 0.208069 | 0.178674 | 0.10951 | 0 | 0.023926 | 0.303875 | 5,884 | 188 | 128 | 31.297872 | 0.823242 | 0.114208 | 0 | 0.262295 | 0 | 0 | 0.045472 | 0.006218 | 0 | 0 | 0.005441 | 0 | 0 | 1 | 0.040984 | false | 0.008197 | 0.065574 | 0 | 0.262295 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4f91839d0ba937bffd97ff3a607f1dad1fc55ad | 1,690 | py | Python | distanceProfile.py | ZiyaoWei/pyMatrixProfile | 1c88e1558e2bc5210d328d253572f5ff7fab1a5e | [
"MIT"
] | 29 | 2017-08-13T04:24:16.000Z | 2021-12-24T07:51:08.000Z | Matrix Profile/Implementation/pyMatrixProfile-master/distanceProfile.py | rakesh-lagare/Thesis_Work | 733285eae31a3fd8b613ec30d9e2ab9befd57614 | [
"Apache-2.0"
] | 2 | 2018-02-12T11:58:53.000Z | 2018-08-20T19:51:47.000Z | Matrix Profile/Implementation/pyMatrixProfile-master/distanceProfile.py | rakesh-lagare/Thesis_Work | 733285eae31a3fd8b613ec30d9e2ab9befd57614 | [
"Apache-2.0"
] | 15 | 2017-08-19T23:16:45.000Z | 2019-09-21T04:53:43.000Z | import numpy as np
from util import *
def naiveDistanceProfile(tsA, idx, m, tsB = None):
"""Return the distance profile of query against ts. Use the naive all pairs comparison algorithm.
>>> np.round(naiveDistanceProfile(np.array([0.0, 1.0, -1.0, 0.0]), 0, 4, np.array([-1, 1, 0, 0, -1, 1])), 3)
array([[ 2... | 34.489796 | 112 | 0.56213 | 227 | 1,690 | 4.14978 | 0.277533 | 0.029724 | 0.019108 | 0.021231 | 0.602972 | 0.573248 | 0.573248 | 0.573248 | 0.573248 | 0.573248 | 0 | 0.054694 | 0.275148 | 1,690 | 48 | 113 | 35.208333 | 0.714286 | 0.264497 | 0 | 0.645161 | 0 | 0 | 0.006683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.096774 | 0 | 0.225806 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4fae683109b51c37a205d6ed228be7bbb86f029 | 7,868 | py | Python | vnTrader/uiMainWindow.py | bttt123/TradeSim | 2374b0925d34d8fb299095250c5c8834192848ce | [
"Apache-2.0"
] | null | null | null | vnTrader/uiMainWindow.py | bttt123/TradeSim | 2374b0925d34d8fb299095250c5c8834192848ce | [
"Apache-2.0"
] | null | null | null | vnTrader/uiMainWindow.py | bttt123/TradeSim | 2374b0925d34d8fb299095250c5c8834192848ce | [
"Apache-2.0"
] | 1 | 2022-03-29T21:57:31.000Z | 2022-03-29T21:57:31.000Z | # encoding: UTF-8
from builtins import str
import psutil
# import sys
# PyQt 4/5 compatibility
try:
from PyQt4.QtGui import QMainWindow, QDialog, QDockWidget, QAction, QHeaderView, QMessageBox, QLabel, QVBoxLayout
from PyQt4 import QtCore
except ImportError:
from PyQt5.QtWidgets import QMainWindow, QDial... | 35.441441 | 121 | 0.521734 | 596 | 7,868 | 6.848993 | 0.360738 | 0.017638 | 0.033317 | 0.017148 | 0.070554 | 0.041646 | 0.041646 | 0.041646 | 0.041646 | 0.041646 | 0 | 0.003401 | 0.252669 | 7,868 | 221 | 122 | 35.60181 | 0.690816 | 0.159507 | 0 | 0.09375 | 0 | 0 | 0.025738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.070313 | 0 | 0.234375 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4fb4e3677b230700c8377c0c0d538eea2ac4e41 | 9,431 | py | Python | line_notify_core.py | ficgra/PChome-alertor | 5f4e798e3130c170eb75e03215128590ed02dcf9 | [
"Apache-2.0"
] | 1 | 2021-06-16T00:36:22.000Z | 2021-06-16T00:36:22.000Z | line_notify_core.py | ficgra/PChome-alertor | 5f4e798e3130c170eb75e03215128590ed02dcf9 | [
"Apache-2.0"
] | null | null | null | line_notify_core.py | ficgra/PChome-alertor | 5f4e798e3130c170eb75e03215128590ed02dcf9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import requests
import json
import re
from flask import Flask, request, abort
import mysql.connector as mariadb
from mysql.connector import Error
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from l... | 35.190299 | 214 | 0.626021 | 1,173 | 9,431 | 4.846547 | 0.208014 | 0.035884 | 0.019349 | 0.040457 | 0.480739 | 0.441337 | 0.358487 | 0.321196 | 0.299384 | 0.281442 | 0 | 0.015811 | 0.24218 | 9,431 | 267 | 215 | 35.322097 | 0.779208 | 0.054183 | 0 | 0.364055 | 0 | 0.018433 | 0.199887 | 0.019584 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059908 | false | 0.023041 | 0.041475 | 0.004608 | 0.152074 | 0.073733 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4fd04698f7477aacd1d458ba68e94970c4579ef | 1,143 | py | Python | sfc_models/examples/scripts/intro_X_XX_sim_multiplier.py | MachineLP/SFC_models | d438a4e3e88534a206c761cda7a3f6a58ac3a0ac | [
"Apache-2.0"
] | 21 | 2016-11-03T12:30:50.000Z | 2022-03-24T06:54:14.000Z | sfc_models/examples/scripts/intro_X_XX_sim_multiplier.py | MachineLP/SFC_models | d438a4e3e88534a206c761cda7a3f6a58ac3a0ac | [
"Apache-2.0"
] | 1 | 2019-04-02T02:01:27.000Z | 2019-04-07T21:07:10.000Z | sfc_models/examples/scripts/intro_X_XX_sim_multiplier.py | MachineLP/SFC_models | d438a4e3e88534a206c761cda7a3f6a58ac3a0ac | [
"Apache-2.0"
] | 12 | 2016-11-03T12:30:57.000Z | 2021-09-14T23:08:23.000Z | # coding=utf-8
from sfc_models.objects import *
from sfc_models.examples.Quick2DPlot import Quick2DPlot
register_standard_logs('output', __file__)
mod = Model()
country = Country(mod, 'CO')
Household(country, 'HH')
ConsolidatedGovernment(country, 'GOV')
FixedMarginBusiness(country, 'BUS', profit_margin=.025)
Market(c... | 34.636364 | 113 | 0.727909 | 161 | 1,143 | 4.956522 | 0.515528 | 0.080201 | 0.032581 | 0.035088 | 0.065163 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028293 | 0.103237 | 1,143 | 32 | 114 | 35.71875 | 0.750244 | 0.052493 | 0 | 0 | 0 | 0 | 0.247222 | 0.086111 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
d4fe0f781e9f3139abc2757c5c86104cc2181049 | 4,135 | py | Python | auth_framework/settings.py | DrChai/django-auth-framework | 4f9a108de66fe102ff28518b6597ad26b5855518 | [
"BSD-2-Clause"
] | null | null | null | auth_framework/settings.py | DrChai/django-auth-framework | 4f9a108de66fe102ff28518b6597ad26b5855518 | [
"BSD-2-Clause"
] | null | null | null | auth_framework/settings.py | DrChai/django-auth-framework | 4f9a108de66fe102ff28518b6597ad26b5855518 | [
"BSD-2-Clause"
] | null | null | null | from importlib import import_module
from django.conf import settings
from django.core.signals import setting_changed
SOCIALACCOUNT_MODEL = getattr(settings, "REST_AUTH_SOCIALACCOUNT_MODEL", "auth_framework.SocialAccount")
DEFAULTS = {
'UNIQUE_EMAIL': True,
'RESET_PASSWORD_BY': 'pin', # 'url'| 'pin'
'SER... | 33.08 | 117 | 0.641112 | 450 | 4,135 | 5.628889 | 0.322222 | 0.071062 | 0.063166 | 0.015792 | 0.044216 | 0.022108 | 0 | 0 | 0 | 0 | 0 | 0.000657 | 0.264087 | 4,135 | 124 | 118 | 33.346774 | 0.831745 | 0.095768 | 0 | 0.042553 | 0 | 0 | 0.181965 | 0.092059 | 0 | 0 | 0 | 0 | 0.010638 | 1 | 0.085106 | false | 0.021277 | 0.095745 | 0 | 0.265957 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be0099fd02ee40c6a15038fa8158d18b025dd23d | 3,218 | py | Python | tests/test_sqlite_wrapper.py | Privex/python-db | 3b46b34b4310973e2e2a30a66adaa853fd10340d | [
"X11"
] | 1 | 2019-12-19T13:12:53.000Z | 2019-12-19T13:12:53.000Z | tests/test_sqlite_wrapper.py | Privex/python-db | 3b46b34b4310973e2e2a30a66adaa853fd10340d | [
"X11"
] | 9 | 2020-02-24T20:14:53.000Z | 2021-04-30T21:51:04.000Z | tests/test_sqlite_wrapper.py | Privex/python-db | 3b46b34b4310973e2e2a30a66adaa853fd10340d | [
"X11"
] | null | null | null | """
Tests related to :class:`.SqliteWrapper` / :class:`.ExampleWrapper`
"""
# from unittest import TestCase
from tests.base import *
class TestSQLiteWrapper(PrivexDBTestBase):
def test_tables_created(self):
w = self.wrp
self.assertEqual(w.db, ':memory:')
tables = w.list_tables()
... | 31.242718 | 97 | 0.579863 | 402 | 3,218 | 4.4801 | 0.164179 | 0.183232 | 0.044975 | 0.059967 | 0.576346 | 0.445308 | 0.445308 | 0.445308 | 0.401999 | 0.401999 | 0 | 0.009362 | 0.269733 | 3,218 | 102 | 98 | 31.54902 | 0.757021 | 0.030454 | 0 | 0.512821 | 0 | 0 | 0.115681 | 0 | 0 | 0 | 0 | 0 | 0.371795 | 1 | 0.115385 | false | 0 | 0.012821 | 0 | 0.141026 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be00d24937df6595d3c59f1ae767515161b8f7ef | 5,320 | py | Python | var/spack/repos/builtin/packages/strumpack/package.py | robertodr/spack | 9b809e01b47d48f01b3d257912fe1b752943cd3d | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 9 | 2018-04-18T07:51:40.000Z | 2021-09-10T03:56:57.000Z | var/spack/repos/builtin/packages/strumpack/package.py | robertodr/spack | 9b809e01b47d48f01b3d257912fe1b752943cd3d | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 907 | 2018-04-18T11:17:57.000Z | 2022-03-31T13:20:25.000Z | var/spack/repos/builtin/packages/strumpack/package.py | robertodr/spack | 9b809e01b47d48f01b3d257912fe1b752943cd3d | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 29 | 2018-11-05T16:14:23.000Z | 2022-02-03T16:07:09.000Z | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Strumpack(CMakePackage, CudaPackage):
"""STRUMPACK -- STRUctured Matrix PACKage - provides... | 42.56 | 95 | 0.638346 | 607 | 5,320 | 5.47117 | 0.329489 | 0.03523 | 0.02168 | 0.042156 | 0.112014 | 0.019874 | 0 | 0 | 0 | 0 | 0 | 0.074003 | 0.217669 | 5,320 | 124 | 96 | 42.903226 | 0.723931 | 0.141541 | 0 | 0.086957 | 0 | 0.01087 | 0.422762 | 0.171934 | 0 | 0 | 0 | 0.008065 | 0 | 1 | 0.021739 | false | 0 | 0.01087 | 0.01087 | 0.108696 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be011eb0f4bc43a928140f63592325792f0414b5 | 6,318 | py | Python | actionserver/actions/action_feedbackform.py | Ajju2211/frendy-bot | b86a7a3cb3fb54b300ad9b870defb947f22dc146 | [
"Apache-2.0"
] | null | null | null | actionserver/actions/action_feedbackform.py | Ajju2211/frendy-bot | b86a7a3cb3fb54b300ad9b870defb947f22dc146 | [
"Apache-2.0"
] | null | null | null | actionserver/actions/action_feedbackform.py | Ajju2211/frendy-bot | b86a7a3cb3fb54b300ad9b870defb947f22dc146 | [
"Apache-2.0"
] | null | null | null | from typing import Any, Text, Dict, List, Union
from rasa_sdk import Action, Tracker
from rasa_sdk.executor import CollectingDispatcher
from rasa_sdk.forms import FormAction
from rasa_sdk.events import UserUtteranceReverted, UserUttered, FollowupAction
# from rasa_core.events import (UserUtteranceReverted, UserUttered... | 37.832335 | 181 | 0.597341 | 658 | 6,318 | 5.600304 | 0.264438 | 0.042334 | 0.059701 | 0.027137 | 0.461058 | 0.395387 | 0.353596 | 0.290638 | 0.252374 | 0.252374 | 0 | 0.003933 | 0.275562 | 6,318 | 166 | 182 | 38.060241 | 0.80118 | 0.113485 | 0 | 0.386364 | 0 | 0.015152 | 0.193933 | 0.01914 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.113636 | 0.007576 | 0.287879 | 0.007576 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be01e27689f95fbc7033b6a5da2ab015674dada0 | 2,909 | py | Python | azure-mgmt-web/azure/mgmt/web/models/app_service_certificate_resource.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-web/azure/mgmt/web/models/app_service_certificate_resource.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-web/azure/mgmt/web/models/app_service_certificate_resource.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2019-06-17T22:18:23.000Z | 2019-06-17T22:18:23.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 38.786667 | 102 | 0.625645 | 309 | 2,909 | 5.757282 | 0.391586 | 0.062957 | 0.055087 | 0.060708 | 0.023609 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000429 | 0.198006 | 2,909 | 74 | 103 | 39.310811 | 0.762109 | 0.544517 | 0 | 0 | 0 | 0 | 0.334451 | 0.100587 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.04 | 0 | 0.2 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be045e37a15278ad4b76fd0b0f607b024e9f6bee | 925 | py | Python | parsers/rss10.py | side-beach-city/SBCLinkCopyTool | 12ec16eefddac215e6a2be92464fde75677c8548 | [
"Apache-2.0"
] | null | null | null | parsers/rss10.py | side-beach-city/SBCLinkCopyTool | 12ec16eefddac215e6a2be92464fde75677c8548 | [
"Apache-2.0"
] | 2 | 2021-06-28T01:52:31.000Z | 2021-06-28T02:21:18.000Z | parsers/rss10.py | side-beach-city/SBCLinkCopyTool | 12ec16eefddac215e6a2be92464fde75677c8548 | [
"Apache-2.0"
] | null | null | null | import urllib.request
import xml.etree.ElementTree
class RSS10Parser:
def __init__(self, url: str) -> None:
self.url = url
def getlist(self) -> list[dict[str, str]]:
ENTRY = r"{http://www.w3.org/2005/Atom}"
MEDIA = r"{http://search.yahoo.com/mrss/}"
YOUTUBE = r"{http://www.youtube.com/xml/schemas/... | 37 | 129 | 0.655135 | 122 | 925 | 4.860656 | 0.540984 | 0.033727 | 0.05059 | 0.05059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020806 | 0.168649 | 925 | 25 | 129 | 37 | 0.750325 | 0 | 0 | 0 | 0 | 0 | 0.307775 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.136364 | 0 | 0.318182 | 0.090909 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be04c82cd5f62929d01752841a8ec17a1254d468 | 291 | py | Python | exercises/pt/exc_01_03_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/pt/exc_01_03_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/pt/exc_01_03_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | # Importar a classe da língua inglesa (English) e criar um objeto nlp
from ____ import ____
nlp = ____
# Processar o texto
doc = ____("I like tree kangaroos and narwhals.")
# Selecionar o primeiro token
first_token = doc[____]
# Imprimir o texto do primeito token
print(first_token.____)
| 22.384615 | 69 | 0.75945 | 41 | 291 | 4.756098 | 0.780488 | 0.061538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175258 | 291 | 12 | 70 | 24.25 | 0.8125 | 0.508591 | 0 | 0 | 0 | 0 | 0.253623 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be04f5e587c1b673bb12feefbad95d55e8558e6e | 3,946 | py | Python | tests/integration/mci/test_happy_path.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | null | null | null | tests/integration/mci/test_happy_path.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | 8 | 2020-03-24T15:24:18.000Z | 2022-03-02T04:32:56.000Z | tests/integration/mci/test_happy_path.py | qateam123/eq | 704757952323647d659c49a71975c56406ff4047 | [
"MIT"
] | null | null | null | from tests.integration.create_token import create_token
from tests.integration.integration_test_case import IntegrationTestCase
class TestHappyPath(IntegrationTestCase):
def test_happy_path_203(self):
self.happy_path('0203', '1')
def test_happy_path_205(self):
self.happy_path('0205', '1')
... | 40.265306 | 141 | 0.639635 | 469 | 3,946 | 5.247335 | 0.255864 | 0.103616 | 0.134092 | 0.071109 | 0.466477 | 0.4551 | 0.42503 | 0.399025 | 0.399025 | 0.35514 | 0 | 0.023139 | 0.244298 | 3,946 | 97 | 142 | 40.680412 | 0.802146 | 0.084389 | 0 | 0.241935 | 0 | 0 | 0.251599 | 0.04476 | 0 | 0 | 0 | 0 | 0.387097 | 1 | 0.048387 | false | 0 | 0.032258 | 0 | 0.096774 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be0508937eb9d9d5130de65137f4cd2a7335c162 | 70,784 | py | Python | src/transformers/models/hubert/modeling_tf_hubert.py | OllieBroadhurst/transformers | 12428f0ef15bb3631e7a5f04672ddb05f363de97 | [
"Apache-2.0"
] | 1 | 2022-03-25T01:33:40.000Z | 2022-03-25T01:33:40.000Z | src/transformers/models/hubert/modeling_tf_hubert.py | OllieBroadhurst/transformers | 12428f0ef15bb3631e7a5f04672ddb05f363de97 | [
"Apache-2.0"
] | 1 | 2022-03-23T19:49:13.000Z | 2022-03-23T19:49:13.000Z | src/transformers/models/hubert/modeling_tf_hubert.py | erichan1/transformers | 12428f0ef15bb3631e7a5f04672ddb05f363de97 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Fairseq Authors and the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | 42.461908 | 164 | 0.656575 | 8,641 | 70,784 | 5.12892 | 0.094318 | 0.058214 | 0.0132 | 0.02112 | 0.520206 | 0.459555 | 0.415194 | 0.393985 | 0.36833 | 0.353167 | 0 | 0.008215 | 0.25024 | 70,784 | 1,666 | 165 | 42.487395 | 0.826873 | 0.146333 | 0 | 0.418089 | 0 | 0.020478 | 0.15486 | 0.01481 | 0 | 0 | 0 | 0 | 0.003413 | 1 | 0.06058 | false | 0.000853 | 0.010239 | 0.00256 | 0.127986 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be071e34802c8618edb66a1241ddd2e7d443b843 | 3,316 | py | Python | image-generation/slegan/args.py | AaratiAkkapeddi/nnabla-examples | db9e5ad850303c158773aeb275e5c3821b4a3935 | [
"Apache-2.0"
] | 228 | 2017-11-20T06:05:56.000Z | 2022-03-23T12:40:05.000Z | image-generation/slegan/args.py | AaratiAkkapeddi/nnabla-examples | db9e5ad850303c158773aeb275e5c3821b4a3935 | [
"Apache-2.0"
] | 36 | 2018-01-11T23:26:20.000Z | 2022-03-12T00:53:38.000Z | image-generation/slegan/args.py | AaratiAkkapeddi/nnabla-examples | db9e5ad850303c158773aeb275e5c3821b4a3935 | [
"Apache-2.0"
] | 76 | 2017-11-22T22:00:00.000Z | 2022-03-28T05:58:57.000Z | # Copyright 2021 Sony Corporation.
# Copyright 2021 Sony Group Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | 42.512821 | 91 | 0.606454 | 416 | 3,316 | 4.769231 | 0.423077 | 0.068044 | 0.128528 | 0.027218 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015751 | 0.253317 | 3,316 | 77 | 92 | 43.064935 | 0.785541 | 0.205971 | 0 | 0.040816 | 0 | 0 | 0.246538 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040816 | false | 0 | 0.081633 | 0 | 0.142857 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be09ed482ae6fd03e6f106d0795f2a118eb2425c | 2,332 | py | Python | test/integration_tests/test_integration_datasets_client.py | self-host/selfhost-python-client | 95797ef819099174d916b10e82878c370b1cd972 | [
"MIT"
] | null | null | null | test/integration_tests/test_integration_datasets_client.py | self-host/selfhost-python-client | 95797ef819099174d916b10e82878c370b1cd972 | [
"MIT"
] | null | null | null | test/integration_tests/test_integration_datasets_client.py | self-host/selfhost-python-client | 95797ef819099174d916b10e82878c370b1cd972 | [
"MIT"
] | null | null | null | import uuid
from typing import List, Dict, Any
import unittest
from selfhost_client import SelfHostClient, DatasetType
class TestIntegrationDatasetsClient(unittest.TestCase):
"""
Run these tests individually because Self-Host will return HTTP 429 Too Many Requests otherwise.
"""
@classmethod
de... | 36.4375 | 100 | 0.653945 | 260 | 2,332 | 5.673077 | 0.311538 | 0.094915 | 0.097627 | 0.059661 | 0.226441 | 0.178983 | 0.178983 | 0.135593 | 0.135593 | 0.135593 | 0 | 0.01 | 0.22813 | 2,332 | 63 | 101 | 37.015873 | 0.809444 | 0.066038 | 0 | 0.083333 | 0 | 0 | 0.099445 | 0.027752 | 0 | 0 | 0 | 0 | 0.145833 | 1 | 0.145833 | false | 0.020833 | 0.083333 | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be0a74b4d28b5ee5afbbd8993134c1568bbdff10 | 6,516 | py | Python | metaspace/engine/sm/engine/tests/test_fdr.py | METASPACE2020/METASPACE | e1acd9a409f84a78eed7ca9713258c09b0e137ca | [
"Apache-2.0"
] | null | null | null | metaspace/engine/sm/engine/tests/test_fdr.py | METASPACE2020/METASPACE | e1acd9a409f84a78eed7ca9713258c09b0e137ca | [
"Apache-2.0"
] | null | null | null | metaspace/engine/sm/engine/tests/test_fdr.py | METASPACE2020/METASPACE | e1acd9a409f84a78eed7ca9713258c09b0e137ca | [
"Apache-2.0"
] | null | null | null | from itertools import product
from unittest.mock import patch
import pytest
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from sm.engine.annotation.fdr import FDR, run_fdr_ranking
from sm.engine.formula_parser import format_modifiers
FDR_CONFIG = {'decoy_sample_size': 2}
... | 32.58 | 121 | 0.558778 | 876 | 6,516 | 3.921233 | 0.173516 | 0.044541 | 0.048035 | 0.041921 | 0.554294 | 0.512955 | 0.483261 | 0.447162 | 0.395924 | 0.350218 | 0 | 0.045529 | 0.255064 | 6,516 | 199 | 122 | 32.743719 | 0.662134 | 0.035451 | 0 | 0.372781 | 0 | 0 | 0.087711 | 0.010825 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.035503 | false | 0 | 0.047337 | 0 | 0.08284 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be0c9d39fc49b73642a31f8fb89de4fff31f8d63 | 4,576 | py | Python | umigame/nlp/labelling.py | penguinwang96825/Umigame | 98d647ab6f40df08fe31d6b3bc444afe229a914e | [
"Apache-2.0"
] | null | null | null | umigame/nlp/labelling.py | penguinwang96825/Umigame | 98d647ab6f40df08fe31d6b3bc444afe229a914e | [
"Apache-2.0"
] | null | null | null | umigame/nlp/labelling.py | penguinwang96825/Umigame | 98d647ab6f40df08fe31d6b3bc444afe229a914e | [
"Apache-2.0"
] | 1 | 2021-11-01T14:35:32.000Z | 2021-11-01T14:35:32.000Z | import math
import numpy as np
import pandas as pd
def fixed_time_horizon(df, column='close', lookback=20):
"""
Fixed-time Horizon
As it relates to finance, virtually all ML papers label observations using the fixed-time horizon method.
Fixed-time horizon is presented as one of the main procedures to ... | 37.508197 | 124 | 0.647072 | 671 | 4,576 | 4.375559 | 0.342772 | 0.040872 | 0.027248 | 0.024523 | 0.302793 | 0.272139 | 0.257153 | 0.257153 | 0.219687 | 0.219687 | 0 | 0.035524 | 0.21875 | 4,576 | 122 | 125 | 37.508197 | 0.785734 | 0.520542 | 0 | 0.090909 | 0 | 0 | 0.009293 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113636 | false | 0 | 0.068182 | 0.045455 | 0.295455 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be0d1242d33adfcfc290ba70e3637aa993c895e3 | 4,164 | py | Python | mayan/apps/converter/api.py | Dave360-crypto/mayan-edms | 9cd37537461347f79ff0429e4b8b16fd2446798d | [
"Apache-2.0"
] | 3 | 2020-02-03T11:58:51.000Z | 2020-10-20T03:52:21.000Z | mayan/apps/converter/api.py | Dave360-crypto/mayan-edms | 9cd37537461347f79ff0429e4b8b16fd2446798d | [
"Apache-2.0"
] | null | null | null | mayan/apps/converter/api.py | Dave360-crypto/mayan-edms | 9cd37537461347f79ff0429e4b8b16fd2446798d | [
"Apache-2.0"
] | 2 | 2020-10-24T11:10:06.000Z | 2021-03-03T20:05:38.000Z | from __future__ import absolute_import
import hashlib
import logging
import os
from django.utils.encoding import smart_str
from common.conf.settings import TEMPORARY_DIRECTORY
from common.utils import fs_cleanup
from .exceptions import OfficeConversionError, UnknownFileFormat
from .literals import (DEFAULT_PAGE_NUM... | 32.53125 | 180 | 0.68828 | 435 | 4,164 | 6.321839 | 0.264368 | 0.087273 | 0.024727 | 0.033455 | 0.230182 | 0.216727 | 0.193091 | 0.14 | 0.122909 | 0.047273 | 0 | 0.003105 | 0.226465 | 4,164 | 127 | 181 | 32.787402 | 0.850667 | 0.008886 | 0 | 0.221053 | 0 | 0 | 0.062788 | 0.005818 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063158 | false | 0.010526 | 0.115789 | 0.010526 | 0.252632 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be0d8286d98d561dd73b8ad4757e80b16c93f068 | 2,798 | py | Python | LogisticRegression/learn.py | ValYouW/DeepLearningCourse | d7d9edc60075f9078ec3f41074c958eaa7854964 | [
"MIT"
] | null | null | null | LogisticRegression/learn.py | ValYouW/DeepLearningCourse | d7d9edc60075f9078ec3f41074c958eaa7854964 | [
"MIT"
] | null | null | null | LogisticRegression/learn.py | ValYouW/DeepLearningCourse | d7d9edc60075f9078ec3f41074c958eaa7854964 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import utils
def plot_data(x_mat, y, db_x, db_y):
plt.figure()
plt.title('Data')
admitted = (y == 1).flatten()
rejected = (y == 0).flatten()
# plot decision boundary
plt.plot(db_x, db_y)
# plot admitted... | 32.534884 | 105 | 0.605075 | 439 | 2,798 | 3.71754 | 0.316629 | 0.029412 | 0.016544 | 0.014706 | 0.057598 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036139 | 0.248392 | 2,798 | 85 | 106 | 32.917647 | 0.739895 | 0.241601 | 0 | 0 | 0 | 0 | 0.130887 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.083333 | 0 | 0.125 | 0.125 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be0d8c6e88406117103733f22d2fc8dd5f14eae8 | 30,231 | py | Python | ignite/handlers/time_profilers.py | iamhardikat11/ignite | 0666b407f7cdba81842014c6026e33b66113bb94 | [
"BSD-3-Clause"
] | 4,119 | 2017-11-23T18:10:37.000Z | 2022-03-31T05:31:27.000Z | ignite/handlers/time_profilers.py | iamhardikat11/ignite | 0666b407f7cdba81842014c6026e33b66113bb94 | [
"BSD-3-Clause"
] | 1,838 | 2017-11-24T11:19:25.000Z | 2022-03-31T09:08:18.000Z | ignite/handlers/time_profilers.py | iamhardikat11/ignite | 0666b407f7cdba81842014c6026e33b66113bb94 | [
"BSD-3-Clause"
] | 691 | 2017-11-24T10:57:33.000Z | 2022-03-29T02:19:44.000Z | import functools
from collections import OrderedDict
from typing import Any, Callable, Dict, List, Mapping, Sequence, Tuple, Union, cast
import torch
from ignite.engine import Engine, EventEnum, Events
from ignite.handlers.timing import Timer
class BasicTimeProfiler:
"""
BasicTimeProfiler can be used to pro... | 38.412961 | 119 | 0.582978 | 3,433 | 30,231 | 4.868337 | 0.113895 | 0.063005 | 0.057979 | 0.042123 | 0.574882 | 0.496919 | 0.41369 | 0.355651 | 0.322384 | 0.29486 | 0 | 0.024634 | 0.293672 | 30,231 | 786 | 120 | 38.461832 | 0.758067 | 0.240349 | 0 | 0.235808 | 0 | 0.002183 | 0.088262 | 0.023794 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091703 | false | 0 | 0.021834 | 0.004367 | 0.148472 | 0.008734 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be0e7ba87c886d267ec11352e01c184c5af3e8dc | 9,671 | py | Python | bellmanford.py | asmodehn/aiokraken | b260bd41d5aa091e6a4f1818328426fbe6f625c0 | [
"MIT"
] | null | null | null | bellmanford.py | asmodehn/aiokraken | b260bd41d5aa091e6a4f1818328426fbe6f625c0 | [
"MIT"
] | 82 | 2019-08-30T09:37:49.000Z | 2022-03-29T14:53:22.000Z | bellmanford.py | asmodehn/aiokraken | b260bd41d5aa091e6a4f1818328426fbe6f625c0 | [
"MIT"
] | null | null | null | """
Bellman Ford Arbitrage implementation over websocket API.
"""
from __future__ import annotations
from collections import namedtuple
from datetime import datetime
from decimal import Decimal
from math import log
import pandas as pd
import numpy as np
import asyncio
import typing
from aiokraken.model.assetpair imp... | 39.798354 | 156 | 0.58722 | 1,228 | 9,671 | 4.522801 | 0.276873 | 0.012964 | 0.006482 | 0.005041 | 0.128196 | 0.102089 | 0.052035 | 0.022866 | 0.022866 | 0.022866 | 0 | 0.008208 | 0.307104 | 9,671 | 242 | 157 | 39.96281 | 0.820624 | 0.294489 | 0 | 0.046154 | 0 | 0 | 0.024484 | 0 | 0 | 0 | 0 | 0.004132 | 0.015385 | 1 | 0.061538 | false | 0 | 0.115385 | 0.015385 | 0.276923 | 0.015385 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be139101ad7d93480666b4065956e230585c96d9 | 1,180 | py | Python | src/fetchcode/vcs/pip/_internal/utils/entrypoints.py | quepop/fetchcode | ac2461bdf7a249d8815987b4d421dbc615c043b9 | [
"Apache-2.0"
] | 7 | 2019-10-04T07:27:41.000Z | 2021-06-07T04:39:18.000Z | src/fetchcode/vcs/pip/_internal/utils/entrypoints.py | quepop/fetchcode | ac2461bdf7a249d8815987b4d421dbc615c043b9 | [
"Apache-2.0"
] | 64 | 2019-10-07T12:40:56.000Z | 2022-02-17T18:44:37.000Z | src/fetchcode/vcs/pip/_internal/utils/entrypoints.py | quepop/fetchcode | ac2461bdf7a249d8815987b4d421dbc615c043b9 | [
"Apache-2.0"
] | 16 | 2019-10-04T08:48:12.000Z | 2021-06-11T01:22:56.000Z | import sys
from fetchcode.vcs.pip._internal.cli.main import main
from fetchcode.vcs.pip._internal.utils.typing import MYPY_CHECK_RUNNING
if MYPY_CHECK_RUNNING:
from typing import Optional, List
def _wrapper(args=None):
# type: (Optional[List[str]]) -> int
"""Central wrapper for all old entrypoints.
... | 36.875 | 79 | 0.710169 | 175 | 1,180 | 4.748571 | 0.645714 | 0.031288 | 0.038508 | 0.045728 | 0.064982 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004353 | 0.221186 | 1,180 | 31 | 80 | 38.064516 | 0.899891 | 0.424576 | 0 | 0 | 0 | 0 | 0.448438 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.266667 | 0 | 0.4 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be145918e072dc9949c9e4a6667701e412064948 | 7,896 | py | Python | Support/Make_Documentation.py | bvbohnen/x4-projects | 2c9db75a720ddb52ddb9e4160c330d7bb1986aa3 | [
"MIT"
] | 24 | 2020-04-11T18:43:01.000Z | 2022-02-23T11:02:02.000Z | Support/Make_Documentation.py | abouquet/x4-projects | 27ba6d2faaab95cfb9114bccb41fadbfe56443b7 | [
"MIT"
] | 10 | 2020-04-11T07:50:33.000Z | 2022-03-31T05:01:35.000Z | Support/Make_Documentation.py | abouquet/x4-projects | 27ba6d2faaab95cfb9114bccb41fadbfe56443b7 | [
"MIT"
] | 8 | 2020-04-24T05:21:55.000Z | 2022-03-26T03:02:13.000Z | '''
Support for generating documentation readmes for the extensions.
Extracts from decorated lua block comments and xml comments.
'''
from pathlib import Path
from lxml import etree
import sys
from itertools import chain
project_dir = Path(__file__).resolve().parents[1]
# Set up an import from the customizer for som... | 31.967611 | 86 | 0.58498 | 960 | 7,896 | 4.652083 | 0.263542 | 0.028213 | 0.024183 | 0.022391 | 0.158979 | 0.108822 | 0.102105 | 0.086431 | 0.086431 | 0.086431 | 0 | 0.002023 | 0.311297 | 7,896 | 246 | 87 | 32.097561 | 0.819235 | 0.365628 | 0 | 0.26087 | 0 | 0 | 0.070593 | 0 | 0 | 0 | 0 | 0.004065 | 0 | 1 | 0.034783 | false | 0 | 0.052174 | 0 | 0.121739 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be15fa91cd3274065ddb261552f8c0f2ea292fcd | 2,960 | py | Python | curso 1/04 - caixa de texto/a4.py | andersonssh/aprendendo-pyqt5 | d15ad7378d4573410c11fc39042df19048c656e4 | [
"MIT"
] | null | null | null | curso 1/04 - caixa de texto/a4.py | andersonssh/aprendendo-pyqt5 | d15ad7378d4573410c11fc39042df19048c656e4 | [
"MIT"
] | null | null | null | curso 1/04 - caixa de texto/a4.py | andersonssh/aprendendo-pyqt5 | d15ad7378d4573410c11fc39042df19048c656e4 | [
"MIT"
] | null | null | null | import sys
from PyQt5.QtWidgets import (QApplication,
QMainWindow,
QPushButton,
QToolTip,
QLabel,
QLineEdit)
from PyQt5 import QtGui
class Janela(QMainWindow):
def __in... | 31.489362 | 140 | 0.591216 | 341 | 2,960 | 5.029326 | 0.29912 | 0.037318 | 0.032653 | 0.068222 | 0.196501 | 0.179009 | 0.138192 | 0.111953 | 0.06414 | 0 | 0 | 0.063327 | 0.285135 | 2,960 | 94 | 141 | 31.489362 | 0.747164 | 0.007432 | 0 | 0.027027 | 0 | 0.040541 | 0.171721 | 0.029642 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121622 | false | 0 | 0.040541 | 0 | 0.175676 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be1d04203f18e6f16b60a723e614122b48a08671 | 1,097 | py | Python | data/train/python/be1d04203f18e6f16b60a723e614122b48a08671celeryconfig.py | harshp8l/deep-learning-lang-detection | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | [
"MIT"
] | 84 | 2017-10-25T15:49:21.000Z | 2021-11-28T21:25:54.000Z | data/train/python/be1d04203f18e6f16b60a723e614122b48a08671celeryconfig.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 5 | 2018-03-29T11:50:46.000Z | 2021-04-26T13:33:18.000Z | data/train/python/be1d04203f18e6f16b60a723e614122b48a08671celeryconfig.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 24 | 2017-11-22T08:31:00.000Z | 2022-03-27T01:22:31.000Z | import os
from kombu import Queue, Exchange
## Broker settings.
BROKER_URL = os.getenv('BROKER_URL', 'amqp://guest:guest@localhost:5672')
#BROKER_URL = "amqp://guest:guest@localhost:5672/"
#BROKER_URL = os.getenv('BROKER_URL', 'redis://guest@localhost:6379')
#BROKER_HOST = "localhost"
#BROKER_PORT = 27017
#BROKER_TRA... | 30.472222 | 76 | 0.739289 | 133 | 1,097 | 5.804511 | 0.360902 | 0.05829 | 0.123057 | 0.044041 | 0.268135 | 0.268135 | 0.224093 | 0.224093 | 0.104922 | 0 | 0 | 0.022564 | 0.111212 | 1,097 | 35 | 77 | 31.342857 | 0.769231 | 0.530538 | 0 | 0 | 0 | 0 | 0.272727 | 0.109091 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be1d72eb89ee80a827a9a1150e2c759579770b36 | 21,106 | py | Python | timesheet.py | dgollub/timesheet-google-thingy | 3ffab402444dba520ff3416b2327f6d2ceeeac39 | [
"MIT"
] | null | null | null | timesheet.py | dgollub/timesheet-google-thingy | 3ffab402444dba520ff3416b2327f6d2ceeeac39 | [
"MIT"
] | null | null | null | timesheet.py | dgollub/timesheet-google-thingy | 3ffab402444dba520ff3416b2327f6d2ceeeac39 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
#
from __future__ import print_function
import csv
import os
import re
import sys
import arrow
from gsheets import Sheets
CURRENT_PATH = os.path.abspath(os.path.dirname(os.path.realpath(__file__)))
DEBUG = os.environ.get('DEBUG', "0") == "1"
AS_CSV = os.environ.get('CSV', "0") == "1"
COL... | 34.6 | 158 | 0.588032 | 2,890 | 21,106 | 4.095156 | 0.131488 | 0.013688 | 0.010646 | 0.014195 | 0.351584 | 0.289142 | 0.260161 | 0.244698 | 0.226531 | 0.216392 | 0 | 0.012661 | 0.285227 | 21,106 | 609 | 159 | 34.656814 | 0.771841 | 0.073249 | 0 | 0.324444 | 0 | 0.002222 | 0.136431 | 0.006353 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031111 | false | 0.002222 | 0.015556 | 0 | 0.091111 | 0.16 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be1da4c3a9cd8b6f92a68b6f9d9dd0277f9d55ce | 7,578 | py | Python | league/game.py | Orpheon/All-in | 016901953904250226f388422318ef2f739bf82e | [
"MIT"
] | null | null | null | league/game.py | Orpheon/All-in | 016901953904250226f388422318ef2f739bf82e | [
"MIT"
] | null | null | null | league/game.py | Orpheon/All-in | 016901953904250226f388422318ef2f739bf82e | [
"MIT"
] | null | null | null | import numpy as np
import pickle
import treys
import constants
FULL_DECK = np.array(treys.Deck.GetFullDeck())
class GameEngine:
def __init__(self, BATCH_SIZE, INITIAL_CAPITAL, SMALL_BLIND, BIG_BLIND, logger):
self.BATCH_SIZE = BATCH_SIZE
self.INITIAL_CAPITAL = INITIAL_CAPITAL
self.SMALL_BLIND = SMALL_... | 44.05814 | 133 | 0.684613 | 1,022 | 7,578 | 4.829746 | 0.202544 | 0.040113 | 0.076985 | 0.045583 | 0.317261 | 0.257496 | 0.206442 | 0.180916 | 0.166734 | 0.126418 | 0 | 0.010401 | 0.200713 | 7,578 | 171 | 134 | 44.315789 | 0.804359 | 0.161652 | 0 | 0.04 | 0 | 0 | 0.003695 | 0 | 0 | 0 | 0 | 0.005848 | 0 | 1 | 0.05 | false | 0 | 0.04 | 0 | 0.14 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be1dddb28d3c0ea4aa8ef940a579e9c73af88093 | 2,487 | py | Python | cms/admin/views.py | miloprice/django-cms | c6f548f0983a7488609e07a57552b47675d8d78e | [
"BSD-3-Clause"
] | null | null | null | cms/admin/views.py | miloprice/django-cms | c6f548f0983a7488609e07a57552b47675d8d78e | [
"BSD-3-Clause"
] | null | null | null | cms/admin/views.py | miloprice/django-cms | c6f548f0983a7488609e07a57552b47675d8d78e | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from cms.models import Page, Title, CMSPlugin, Placeholder
from cms.utils import get_language_from_request
from django.http import Http404
from django.shortcuts import get_object_or_404
def revert_plugins(request, version_id, obj):
from reversion.models import Version
version = get_obj... | 36.573529 | 101 | 0.62686 | 300 | 2,487 | 4.99 | 0.29 | 0.04676 | 0.034736 | 0.029392 | 0.062792 | 0.032064 | 0 | 0 | 0 | 0 | 0 | 0.007299 | 0.283876 | 2,487 | 68 | 102 | 36.573529 | 0.83324 | 0.065943 | 0 | 0.129032 | 0 | 0 | 0.006903 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016129 | false | 0.016129 | 0.080645 | 0 | 0.096774 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be1f5618419f3d6206980e4841ac306ca5a5ac13 | 854 | py | Python | 数据分析/matplotlib/03.demo.py | likedeke/python-spider-study | 09bee3cbe833234a86efcc28d62ace000e2fbb4b | [
"Apache-2.0"
] | 1 | 2021-08-20T11:47:51.000Z | 2021-08-20T11:47:51.000Z | 数据分析/matplotlib/03.demo.py | likedeke/python-spider-study | 09bee3cbe833234a86efcc28d62ace000e2fbb4b | [
"Apache-2.0"
] | null | null | null | 数据分析/matplotlib/03.demo.py | likedeke/python-spider-study | 09bee3cbe833234a86efcc28d62ace000e2fbb4b | [
"Apache-2.0"
] | null | null | null | # - - - - - - - - - - -
# @author like
# @since 2021-02-23 11:08
# @email 980650920@qq.com
# 十点到十二点的气温变化
from matplotlib import pyplot as plt
from matplotlib import rc
from matplotlib import font_manager
import random
x = range(0, 120)
y = [random.randint(20, 35) for i in range(120)]
plt.figure(figsize=(20, 8), dp... | 23.722222 | 80 | 0.696721 | 128 | 854 | 4.640625 | 0.578125 | 0.13468 | 0.10101 | 0.055556 | 0.070707 | 0.070707 | 0.070707 | 0.070707 | 0 | 0 | 0 | 0.071429 | 0.131148 | 854 | 35 | 81 | 24.4 | 0.726415 | 0.228337 | 0 | 0 | 0 | 0 | 0.069444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be1f96521bb4c93e3fbc514880ddde1a151dfa0d | 1,351 | py | Python | testing/vcs/test_vcs_isoline_labels.py | xylar/cdat | 8a5080cb18febfde365efc96147e25f51494a2bf | [
"BSD-3-Clause"
] | 62 | 2018-03-30T15:46:56.000Z | 2021-12-08T23:30:24.000Z | testing/vcs/test_vcs_isoline_labels.py | xylar/cdat | 8a5080cb18febfde365efc96147e25f51494a2bf | [
"BSD-3-Clause"
] | 114 | 2018-03-21T01:12:43.000Z | 2021-07-05T12:29:54.000Z | testing/vcs/test_vcs_isoline_labels.py | CDAT/uvcdat | 5133560c0c049b5c93ee321ba0af494253b44f91 | [
"BSD-3-Clause"
] | 14 | 2018-06-06T02:42:47.000Z | 2021-11-26T03:27:00.000Z | import os, sys, cdms2, vcs, vcs.testing.regression as regression
dataset = cdms2.open(os.path.join(vcs.sample_data,"clt.nc"))
data = dataset("clt")
canvas = regression.init()
isoline = canvas.createisoline()
isoline.label="y"
texts=[]
colors = []
for i in range(10):
text = canvas.createtext()
text.color = 50 +... | 29.369565 | 87 | 0.721688 | 197 | 1,351 | 4.86802 | 0.370558 | 0.025026 | 0.043796 | 0.065693 | 0.451512 | 0.451512 | 0.32951 | 0.32951 | 0.32951 | 0.114703 | 0 | 0.024639 | 0.128793 | 1,351 | 45 | 88 | 30.022222 | 0.790144 | 0.093264 | 0 | 0.2 | 0 | 0 | 0.089271 | 0.067977 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.028571 | 0 | 0.028571 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be204f98e2c8943df601cdf5f75bb96f08fc6392 | 34,671 | py | Python | src/Python_version/ICE_py36.py | ds-utilities/ICE | 9461bbb8d6c7b3d3b32eac8ee29bd4ae3ccb286f | [
"MIT"
] | 2 | 2019-08-05T08:26:38.000Z | 2020-05-16T14:10:00.000Z | src/Python_version/ICE_py36.py | postyear/ICE | 9461bbb8d6c7b3d3b32eac8ee29bd4ae3ccb286f | [
"MIT"
] | null | null | null | src/Python_version/ICE_py36.py | postyear/ICE | 9461bbb8d6c7b3d3b32eac8ee29bd4ae3ccb286f | [
"MIT"
] | 2 | 2020-05-16T14:10:01.000Z | 2021-02-09T20:05:46.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 5 05:47:03 2018
@author: zg
"""
import numpy as np
#from scipy import io
import scipy.io
#import pickle
from sklearn.model_selection import StratifiedKFold
#import sklearn
from scipy.sparse import spdiags
from scipy.spatial import distance
#impo... | 31.348101 | 93 | 0.551123 | 5,133 | 34,671 | 3.526593 | 0.116111 | 0.013811 | 0.013424 | 0.01149 | 0.459397 | 0.417191 | 0.359297 | 0.324936 | 0.294443 | 0.277373 | 0 | 0.043658 | 0.309625 | 34,671 | 1,106 | 94 | 31.348101 | 0.712609 | 0.416602 | 0 | 0.243243 | 0 | 0 | 0.052622 | 0.003356 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059459 | false | 0 | 0.032432 | 0 | 0.151351 | 0.078378 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be20c61ee255e8ce67c5713e68e8dff144cc5ef4 | 44,105 | py | Python | xc/common/utils/prjxray_routing_import.py | FireFox317/symbiflow-arch-defs | f0e7b4212544e1d55da776fb7a2ff79117e01454 | [
"ISC"
] | 1 | 2020-09-23T17:57:07.000Z | 2020-09-23T17:57:07.000Z | xc/common/utils/prjxray_routing_import.py | tcal-x/symbiflow-arch-defs | 1e513ac778371608c51fa86a98e54279e3c74752 | [
"ISC"
] | null | null | null | xc/common/utils/prjxray_routing_import.py | tcal-x/symbiflow-arch-defs | 1e513ac778371608c51fa86a98e54279e3c74752 | [
"ISC"
] | null | null | null | #!/usr/bin/env python3
""" Imports 7-series routing fabric to the rr graph.
For ROI configurations, this also connects the synthetic IO tiles to the routing
node specified.
Rough structure:
Add rr_nodes for CHANX and CHANY from the database. IPIN and OPIN rr_nodes
should already be present from the input rr_graph.
... | 30.375344 | 90 | 0.590114 | 5,808 | 44,105 | 4.156853 | 0.101067 | 0.023195 | 0.016568 | 0.016816 | 0.4224 | 0.343619 | 0.282856 | 0.256513 | 0.20888 | 0.174212 | 0 | 0.008274 | 0.312187 | 44,105 | 1,451 | 91 | 30.396278 | 0.787579 | 0.105793 | 0 | 0.227807 | 0 | 0 | 0.098637 | 0.017309 | 0 | 0 | 0 | 0.000689 | 0.028877 | 1 | 0.034225 | false | 0 | 0.035294 | 0.00107 | 0.108021 | 0.017112 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be20fd972c9533d7359e606c8ff9c31f5c519ad2 | 17,854 | py | Python | testing/onQuest/longClusters/m67/OLD-analyseEBLSSTm67.py | andrewbowen19/ClusterEclipsingBinaries | e554cb6bb613e0d3703314e50fcf5289f50bf572 | [
"MIT"
] | null | null | null | testing/onQuest/longClusters/m67/OLD-analyseEBLSSTm67.py | andrewbowen19/ClusterEclipsingBinaries | e554cb6bb613e0d3703314e50fcf5289f50bf572 | [
"MIT"
] | null | null | null | testing/onQuest/longClusters/m67/OLD-analyseEBLSSTm67.py | andrewbowen19/ClusterEclipsingBinaries | e554cb6bb613e0d3703314e50fcf5289f50bf572 | [
"MIT"
] | null | null | null | #########################
#########################
# Need to account for limit in input period
#########################
#########################
# Baseline M67 long script -- NO crowding
# New script copied from quest - want to take p and ecc from each population (all, obs, rec) and put them into separate file
# Do... | 35.284585 | 213 | 0.641089 | 2,717 | 17,854 | 4.167832 | 0.195068 | 0.022519 | 0.020399 | 0.014129 | 0.271459 | 0.172995 | 0.117361 | 0.106853 | 0.098552 | 0.096344 | 0 | 0.039301 | 0.163437 | 17,854 | 505 | 214 | 35.354455 | 0.718867 | 0.179456 | 0 | 0.080692 | 0 | 0.008646 | 0.117994 | 0.010474 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014409 | false | 0.002882 | 0.028818 | 0 | 0.057637 | 0.051873 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be23cbbbbbb53c2c62b109846cda81e757eb1b58 | 14,527 | py | Python | tests/engine/knowledge_base.py | roshanmaskey/plaso | 637856f578eb4bc81f62b97d7f483f69314e7f47 | [
"Apache-2.0"
] | 1,253 | 2015-01-02T13:58:02.000Z | 2022-03-31T08:43:39.000Z | tests/engine/knowledge_base.py | roshanmaskey/plaso | 637856f578eb4bc81f62b97d7f483f69314e7f47 | [
"Apache-2.0"
] | 3,388 | 2015-01-02T11:17:58.000Z | 2022-03-30T10:21:45.000Z | tests/engine/knowledge_base.py | roshanmaskey/plaso | 637856f578eb4bc81f62b97d7f483f69314e7f47 | [
"Apache-2.0"
] | 376 | 2015-01-20T07:04:54.000Z | 2022-03-04T23:53:00.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Tests for the knowledge base."""
import unittest
from plaso.containers import artifacts
from plaso.engine import knowledge_base
from tests import test_lib as shared_test_lib
class KnowledgeBaseTest(shared_test_lib.BaseTestCase):
"""Tests for the knowledge base.""... | 37.153453 | 79 | 0.748537 | 1,441 | 14,527 | 7.288688 | 0.149896 | 0.151004 | 0.170047 | 0.061316 | 0.641817 | 0.614777 | 0.601638 | 0.536799 | 0.460535 | 0.394459 | 0 | 0.00933 | 0.144145 | 14,527 | 390 | 80 | 37.248718 | 0.835438 | 0.095684 | 0 | 0.477551 | 0 | 0 | 0.150493 | 0.074938 | 0 | 0 | 0 | 0.002564 | 0.187755 | 1 | 0.093878 | false | 0 | 0.016327 | 0 | 0.130612 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be247dcc0b3afb4ed9e9527cdfcf9da7e14edb83 | 2,244 | py | Python | Problems/Dynamic Programming/140. Word Break II.py | BYJRK/LeetCode-Solutions | 008467e1717309066a519acb8623d2f84071b64a | [
"MIT"
] | null | null | null | Problems/Dynamic Programming/140. Word Break II.py | BYJRK/LeetCode-Solutions | 008467e1717309066a519acb8623d2f84071b64a | [
"MIT"
] | null | null | null | Problems/Dynamic Programming/140. Word Break II.py | BYJRK/LeetCode-Solutions | 008467e1717309066a519acb8623d2f84071b64a | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/word-break-ii/
from typing import List
class Solution:
def wordBreak(self, s: str, wordDict: List[str]) -> List[str]:
# 做一个快速的检查,如果 s 中存在所有 word 都不包含的字母,则直接退出
set1 = set(s)
set2 = set(''.join(wordDict))
if not set1.issubset(set2):
retur... | 29.142857 | 162 | 0.483512 | 237 | 2,244 | 4.565401 | 0.396624 | 0.025878 | 0.04159 | 0.029575 | 0.055453 | 0.055453 | 0.055453 | 0.055453 | 0 | 0 | 0 | 0.007138 | 0.375668 | 2,244 | 76 | 163 | 29.526316 | 0.765168 | 0.251783 | 0 | 0.133333 | 0 | 0 | 0.044418 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.022222 | 0 | 0.266667 | 0.044444 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be260edf2b0780a31f443fdc8e024043c1398df0 | 30,595 | py | Python | neutron/tests/unit/db/test_migration.py | banhr/neutron | 4b3e73648327ce9f4d3437986a8663372f577f1b | [
"Apache-2.0"
] | 1 | 2018-07-04T07:59:31.000Z | 2018-07-04T07:59:31.000Z | neutron/tests/unit/db/test_migration.py | weiqiLee/neutron | ddc72ebd41a0e7804b33a21583d3add008191229 | [
"Apache-2.0"
] | null | null | null | neutron/tests/unit/db/test_migration.py | weiqiLee/neutron | ddc72ebd41a0e7804b33a21583d3add008191229 | [
"Apache-2.0"
] | 1 | 2018-08-28T17:13:16.000Z | 2018-08-28T17:13:16.000Z | # Copyright 2012 New Dream Network, LLC (DreamHost)
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 40.469577 | 79 | 0.610557 | 3,337 | 30,595 | 5.267006 | 0.126161 | 0.023498 | 0.015931 | 0.019458 | 0.583921 | 0.508421 | 0.440658 | 0.379267 | 0.344447 | 0.312358 | 0 | 0.004247 | 0.284295 | 30,595 | 755 | 80 | 40.523179 | 0.79842 | 0.034581 | 0 | 0.348185 | 0 | 0 | 0.117687 | 0.030498 | 0 | 0 | 0 | 0 | 0.087459 | 1 | 0.117162 | false | 0 | 0.037954 | 0.00165 | 0.173267 | 0.00165 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be26276b9a7545ff4607b3e77287b80155ccbf7d | 959 | py | Python | withdrawal/floor_ceiling.py | hoostus/prime-harvesting | 6606b94ea7859fbf217dbea4ace856e3fa4d154e | [
"BlueOak-1.0.0",
"Apache-2.0"
] | 23 | 2016-09-07T06:13:37.000Z | 2022-02-17T23:49:03.000Z | withdrawal/floor_ceiling.py | hoostus/prime-harvesting | 6606b94ea7859fbf217dbea4ace856e3fa4d154e | [
"BlueOak-1.0.0",
"Apache-2.0"
] | null | null | null | withdrawal/floor_ceiling.py | hoostus/prime-harvesting | 6606b94ea7859fbf217dbea4ace856e3fa4d154e | [
"BlueOak-1.0.0",
"Apache-2.0"
] | 12 | 2016-06-30T17:27:39.000Z | 2021-12-12T07:54:27.000Z | from decimal import Decimal
from .abc import WithdrawalStrategy
# Bengen's Floor-to-Ceiling, as described in McClung's Living Off Your Money
class FloorCeiling(WithdrawalStrategy):
def __init__(self, portfolio, harvest_strategy, rate=.05, floor=.9, ceiling=1.25):
super().__init__(portfolio, harvest_strate... | 30.935484 | 91 | 0.693431 | 113 | 959 | 5.690265 | 0.380531 | 0.101089 | 0.102644 | 0.139969 | 0.270607 | 0.111975 | 0.111975 | 0 | 0 | 0 | 0 | 0.008075 | 0.225235 | 959 | 30 | 92 | 31.966667 | 0.857335 | 0.077164 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.1 | 0 | 0.4 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be2647506be1ffc3fcefa8eacc15a737776b73ab | 8,288 | py | Python | 20190426/6_BME280_WiFi/bme280.py | rcolistete/MicroPython_MiniCurso_ProjOrientado | c82affe833587141c4c05ee08ea84b095bfe845f | [
"MIT"
] | null | null | null | 20190426/6_BME280_WiFi/bme280.py | rcolistete/MicroPython_MiniCurso_ProjOrientado | c82affe833587141c4c05ee08ea84b095bfe845f | [
"MIT"
] | null | null | null | 20190426/6_BME280_WiFi/bme280.py | rcolistete/MicroPython_MiniCurso_ProjOrientado | c82affe833587141c4c05ee08ea84b095bfe845f | [
"MIT"
] | null | null | null | """
MicroPython driver for Bosh BME280 temperature, pressure and humidity I2C sensor:
https://www.bosch-sensortec.com/bst/products/all_products/bme280
Authors: Nelio Goncalves Godoi, Roberto Colistete Jr
Version: 3.1.2 @ 2018/04
License: MIT License (https://opensource.org/licenses/MIT)
"""
import time
from ustruct im... | 33.554656 | 81 | 0.558518 | 1,075 | 8,288 | 4.064186 | 0.205581 | 0.060884 | 0.033646 | 0.026322 | 0.211032 | 0.18265 | 0.140993 | 0.124971 | 0.124971 | 0.036164 | 0 | 0.094477 | 0.320584 | 8,288 | 246 | 82 | 33.691057 | 0.681407 | 0.04404 | 0 | 0.156098 | 0 | 0 | 0.028456 | 0 | 0 | 0 | 0.005438 | 0 | 0 | 1 | 0.04878 | false | 0.004878 | 0.014634 | 0 | 0.112195 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be2674ce54565aac0c872fd9c167bb04e3da2fda | 9,749 | py | Python | airflow/contrib/secrets/hashicorp_vault.py | colpal/airfloss | 1857cf309b69d4c2d60e9bb67f731eb01d0ecda1 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | airflow/contrib/secrets/hashicorp_vault.py | colpal/airfloss | 1857cf309b69d4c2d60e9bb67f731eb01d0ecda1 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 7 | 2020-10-05T18:20:16.000Z | 2022-02-01T00:54:35.000Z | airflow/contrib/secrets/hashicorp_vault.py | colpal/airfloss | 1857cf309b69d4c2d60e9bb67f731eb01d0ecda1 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2020-10-21T03:22:43.000Z | 2020-10-21T03:22:43.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 40.452282 | 102 | 0.647656 | 1,206 | 9,749 | 5.063847 | 0.190713 | 0.031439 | 0.02358 | 0.028001 | 0.232848 | 0.158343 | 0.131816 | 0.121991 | 0.068937 | 0.047486 | 0 | 0.003041 | 0.257975 | 9,749 | 240 | 103 | 40.620833 | 0.841167 | 0.441379 | 0 | 0.080357 | 0 | 0 | 0.072175 | 0.014676 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053571 | false | 0.044643 | 0.071429 | 0 | 0.196429 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be27d0cf506bd514ef2b8fd412eba196789b1b66 | 6,347 | py | Python | Trajectory_Mining/Bag_of_Words/Comp_Corr_KD_CosDist/comp_dist_partialKD.py | AdamCoscia/eve-trajectory-mining | 134f142a5665f66fbf92aada8dd6252fab64ddff | [
"MIT"
] | null | null | null | Trajectory_Mining/Bag_of_Words/Comp_Corr_KD_CosDist/comp_dist_partialKD.py | AdamCoscia/eve-trajectory-mining | 134f142a5665f66fbf92aada8dd6252fab64ddff | [
"MIT"
] | null | null | null | Trajectory_Mining/Bag_of_Words/Comp_Corr_KD_CosDist/comp_dist_partialKD.py | AdamCoscia/eve-trajectory-mining | 134f142a5665f66fbf92aada8dd6252fab64ddff | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Computes distance between killmails by text similarity.
Edit Distance Metrics
- Levenshtein Distance
- Damerau-Levenshtein Distance
- Jaro Distance
- Jaro-Winkler Distance
- Match Rating Approach Comparison
- Hamming Distance
Vector Distance Metrics
- Jaccard Similarity
- Cosine Distance
W... | 37.556213 | 92 | 0.669293 | 949 | 6,347 | 4.401475 | 0.272919 | 0.043572 | 0.018674 | 0.014364 | 0.490065 | 0.463012 | 0.445296 | 0.389753 | 0.378262 | 0.378262 | 0 | 0.031019 | 0.212699 | 6,347 | 168 | 93 | 37.779762 | 0.804883 | 0.396565 | 0 | 0.223404 | 0 | 0.031915 | 0.218547 | 0.088124 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031915 | false | 0 | 0.106383 | 0 | 0.202128 | 0.074468 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be28146fdfcf8ed2a16239294869650841f46a74 | 1,181 | py | Python | src/chess/utils.py | Dalkio/custom-alphazero | e24ee8c646a37bf9509b99ca6c96d3f6e69ee4db | [
"MIT"
] | null | null | null | src/chess/utils.py | Dalkio/custom-alphazero | e24ee8c646a37bf9509b99ca6c96d3f6e69ee4db | [
"MIT"
] | 6 | 2020-08-13T13:02:58.000Z | 2022-02-10T02:21:49.000Z | src/chess/utils.py | Dalkio/custom-alphazero | e24ee8c646a37bf9509b99ca6c96d3f6e69ee4db | [
"MIT"
] | null | null | null | import numpy as np
from itertools import product
from typing import List
from src.config import ConfigChess
from src.chess.board import Board
from src.chess.move import Move
def get_all_possible_moves() -> List[Move]:
all_possible_moves = set()
array = np.zeros((ConfigChess.board_size, ConfigChess.board_size... | 36.90625 | 99 | 0.686706 | 172 | 1,181 | 4.546512 | 0.354651 | 0.084399 | 0.122762 | 0.069054 | 0.391304 | 0.36445 | 0.36445 | 0.36445 | 0.36445 | 0.36445 | 0 | 0.00418 | 0.18967 | 1,181 | 31 | 100 | 38.096774 | 0.812957 | 0.096528 | 0 | 0.230769 | 0 | 0 | 0.007519 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.230769 | 0 | 0.307692 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be2868ed0261dc37f256c2a99990b52d127544a4 | 1,845 | py | Python | multirotor.py | christymarc/mfac | 29449a0c79e618059fa6f67ae7ab76711543c513 | [
"MIT"
] | null | null | null | multirotor.py | christymarc/mfac | 29449a0c79e618059fa6f67ae7ab76711543c513 | [
"MIT"
] | null | null | null | multirotor.py | christymarc/mfac | 29449a0c79e618059fa6f67ae7ab76711543c513 | [
"MIT"
] | 1 | 2022-03-01T05:00:02.000Z | 2022-03-01T05:00:02.000Z | from random import gauss
class MultiRotor:
"""Simple vertical dynamics for a multirotor vehicle."""
GRAVITY = -9.81
def __init__(
self, altitude=10, velocity=0, mass=1.54, emc=10.0, dt=0.05, noise=0.1
):
"""
Args:
altitude (float): initial altitude of the vehicle... | 27.132353 | 86 | 0.566938 | 225 | 1,845 | 4.595556 | 0.351111 | 0.058027 | 0.058027 | 0.038685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036454 | 0.345799 | 1,845 | 67 | 87 | 27.537313 | 0.820215 | 0.384824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.033333 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be286e006cd7ef8775677a3d599b4cc9bc55f723 | 6,329 | py | Python | stpmex/client.py | cuenca-mx/stpmex-python | 93f630cd05cea927b32f5aeb5f9b958c4ee91af9 | [
"MIT"
] | 37 | 2019-01-06T02:52:38.000Z | 2022-03-17T21:19:48.000Z | stpmex/client.py | cuenca-mx/stpmex-python | 93f630cd05cea927b32f5aeb5f9b958c4ee91af9 | [
"MIT"
] | 204 | 2018-09-05T22:55:33.000Z | 2022-03-31T23:21:13.000Z | stpmex/client.py | cuenca-mx/stpmex-python | 93f630cd05cea927b32f5aeb5f9b958c4ee91af9 | [
"MIT"
] | 20 | 2018-09-17T15:29:51.000Z | 2022-02-03T06:29:32.000Z | import re
from typing import Any, ClassVar, Dict, List, NoReturn, Union
from cryptography.exceptions import UnsupportedAlgorithm
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization
from requests import Response, Session
from .exc import (
AccountDoesNo... | 34.026882 | 78 | 0.618739 | 705 | 6,329 | 5.466667 | 0.299291 | 0.024909 | 0.048521 | 0.054229 | 0.144006 | 0.110535 | 0.06876 | 0.052932 | 0.052932 | 0.052932 | 0 | 0.006931 | 0.270501 | 6,329 | 185 | 79 | 34.210811 | 0.82781 | 0.026544 | 0 | 0.123457 | 0 | 0 | 0.136474 | 0.016247 | 0 | 0 | 0 | 0 | 0.012346 | 1 | 0.049383 | false | 0.024691 | 0.055556 | 0.018519 | 0.17284 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be2a7a241325332e4117c63de7ba8c5d1c491871 | 332 | py | Python | metasync/params.py | dstarikov/metavault | 1933cc6cd828ee9c594a45a78238a9a319de0143 | [
"MIT"
] | 1 | 2019-05-28T15:59:35.000Z | 2019-05-28T15:59:35.000Z | metasync/params.py | dstarikov/metavault | 1933cc6cd828ee9c594a45a78238a9a319de0143 | [
"MIT"
] | null | null | null | metasync/params.py | dstarikov/metavault | 1933cc6cd828ee9c594a45a78238a9a319de0143 | [
"MIT"
] | null | null | null | # config params
KB = 1024
MB = 1024*KB
GB = 1024*MB
# name of meta root dir
META_DIR = ".metasync"
# batching time for daemon
SYNC_WAIT = 3
# blob size
BLOB_UNIT = 32*MB
# Increase of Paxos proposal number
PAXOS_PNUM_INC = 10
# authentication directory
import os
AUTH_DIR = os.path.join(os.path.expanduser("~"), "... | 15.090909 | 61 | 0.713855 | 53 | 332 | 4.358491 | 0.716981 | 0.051948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 0.180723 | 332 | 21 | 62 | 15.809524 | 0.786765 | 0.391566 | 0 | 0 | 0 | 0 | 0.097436 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
be2c413f1972d5571cb52206e64c8dffe9762a99 | 2,503 | py | Python | hitnet/hitnet.py | AchintyaSrivastava/HITNET-Stereo-Depth-estimation | 90654dafc8c8bdf5c17079d3cb8bf7ad6d3da166 | [
"MIT"
] | 38 | 2021-09-05T13:59:11.000Z | 2022-03-28T14:18:30.000Z | hitnet/hitnet.py | AchintyaSrivastava/HITNET-Stereo-Depth-estimation | 90654dafc8c8bdf5c17079d3cb8bf7ad6d3da166 | [
"MIT"
] | 3 | 2021-11-25T08:21:01.000Z | 2022-03-07T08:22:11.000Z | hitnet/hitnet.py | AchintyaSrivastava/HITNET-Stereo-Depth-estimation | 90654dafc8c8bdf5c17079d3cb8bf7ad6d3da166 | [
"MIT"
] | 5 | 2021-09-05T23:15:10.000Z | 2022-02-10T08:32:00.000Z | import tensorflow as tf
import numpy as np
import time
import cv2
from hitnet.utils_hitnet import *
drivingStereo_config = CameraConfig(0.546, 1000)
class HitNet():
def __init__(self, model_path, model_type=ModelType.eth3d, camera_config=drivingStereo_config):
self.fps = 0
self.timeLastPrediction = time.time(... | 25.804124 | 96 | 0.742709 | 362 | 2,503 | 4.856354 | 0.256906 | 0.051763 | 0.047782 | 0.059727 | 0.33504 | 0.263936 | 0.222981 | 0.222981 | 0.14562 | 0.14562 | 0 | 0.023596 | 0.153416 | 2,503 | 96 | 97 | 26.072917 | 0.806041 | 0.054335 | 0 | 0.203704 | 0 | 0 | 0.042463 | 0.035669 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12963 | false | 0 | 0.092593 | 0.037037 | 0.351852 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
076ca6ec3c064417c645687635c5d40cf01c07b7 | 29,159 | py | Python | code/trainer.py | mazzaAnt/StackGAN-v2 | dcf696f34bc8e360179eec9e7f2e9e66eec8b9a0 | [
"MIT"
] | 1 | 2019-02-04T20:45:51.000Z | 2019-02-04T20:45:51.000Z | code/trainer.py | mazzaAnt/StackGAN-v2 | dcf696f34bc8e360179eec9e7f2e9e66eec8b9a0 | [
"MIT"
] | null | null | null | code/trainer.py | mazzaAnt/StackGAN-v2 | dcf696f34bc8e360179eec9e7f2e9e66eec8b9a0 | [
"MIT"
] | null | null | null | from __future__ import print_function
from six.moves import range
import torchvision.transforms as transforms
import torch.backends.cudnn as cudnn
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim
import torchvision.utils as vutils
import numpy as np
import os
import ti... | 41.360284 | 116 | 0.540245 | 3,524 | 29,159 | 4.233541 | 0.124291 | 0.018768 | 0.013674 | 0.010322 | 0.386688 | 0.320665 | 0.275957 | 0.241035 | 0.196528 | 0.166097 | 0 | 0.019728 | 0.322028 | 29,159 | 704 | 117 | 41.419034 | 0.734939 | 0.091258 | 0 | 0.230461 | 0 | 0 | 0.027423 | 0.003497 | 0 | 0 | 0 | 0.00142 | 0 | 1 | 0.04008 | false | 0 | 0.044088 | 0 | 0.106212 | 0.026052 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
076cc2a993643184f8804f5d69cb1769c80c9cee | 5,654 | py | Python | spletni_vmesnik.py | LeaHolc/recepcija | bff9f804e795e45c2da214432042c0ae067783b0 | [
"MIT"
] | 1 | 2021-11-11T08:20:13.000Z | 2021-11-11T08:20:13.000Z | spletni_vmesnik.py | LeaHolc/recepcija | bff9f804e795e45c2da214432042c0ae067783b0 | [
"MIT"
] | null | null | null | spletni_vmesnik.py | LeaHolc/recepcija | bff9f804e795e45c2da214432042c0ae067783b0 | [
"MIT"
] | null | null | null | from bottle import TEMPLATE_PATH, route, run, template, redirect, get, post, request, response, auth_basic, Bottle, abort, error, static_file
import bottle
import controller
from controller import dobi_parcele_za_prikaz, dobi_info_parcele, dodaj_gosta_na_rezervacijo, naredi_rezervacijo, dobi_rezervacijo_po_id, zakljuci... | 37.693333 | 196 | 0.703926 | 711 | 5,654 | 5.416315 | 0.188467 | 0.067515 | 0.019995 | 0.035835 | 0.598026 | 0.548429 | 0.529733 | 0.529733 | 0.529733 | 0.504804 | 0 | 0.005096 | 0.166961 | 5,654 | 149 | 197 | 37.946309 | 0.812527 | 0.045278 | 0 | 0.548387 | 0 | 0 | 0.147508 | 0.039287 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08871 | false | 0 | 0.040323 | 0.016129 | 0.258065 | 0.056452 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
076da057376eccf60a978162dbf694687eba8ff6 | 1,233 | py | Python | espnet/nets/pytorch_backend/transducer/initializer.py | magictron/espnet | 075cee8d586957241be3e54c47846fbb12a32310 | [
"Apache-2.0"
] | 2 | 2020-06-21T11:15:10.000Z | 2021-12-03T08:08:45.000Z | espnet/nets/pytorch_backend/transducer/initializer.py | magictron/espnet | 075cee8d586957241be3e54c47846fbb12a32310 | [
"Apache-2.0"
] | 1 | 2021-03-05T10:43:49.000Z | 2021-03-05T10:43:49.000Z | espnet/nets/pytorch_backend/transducer/initializer.py | magictron/espnet | 075cee8d586957241be3e54c47846fbb12a32310 | [
"Apache-2.0"
] | 2 | 2021-03-30T06:02:08.000Z | 2021-08-06T06:59:22.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Parameter initialization for transducer RNN/Transformer parts."""
import six
from espnet.nets.pytorch_backend.initialization import lecun_normal_init_parameters
from espnet.nets.pytorch_backend.initialization import set_forget_bias_to_one
from espnet.nets.pytorch_ba... | 31.615385 | 83 | 0.697486 | 146 | 1,233 | 5.69863 | 0.417808 | 0.052885 | 0.072115 | 0.120192 | 0.399038 | 0.286058 | 0.115385 | 0 | 0 | 0 | 0 | 0.004086 | 0.206002 | 1,233 | 38 | 84 | 32.447368 | 0.845761 | 0.203569 | 0 | 0.25 | 0 | 0 | 0.034664 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.2 | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
077018ad315b121efadde62952dbcb47369a343a | 2,368 | py | Python | benchmarks/eval.py | rom1mouret/anoflows | 42381c06b8897e4510e73cda87ea97ea3f4a5579 | [
"Apache-2.0"
] | null | null | null | benchmarks/eval.py | rom1mouret/anoflows | 42381c06b8897e4510e73cda87ea97ea3f4a5579 | [
"Apache-2.0"
] | null | null | null | benchmarks/eval.py | rom1mouret/anoflows | 42381c06b8897e4510e73cda87ea97ea3f4a5579 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import sys
import logging
import yaml
import pandas as pd
import numpy as np
from collections import defaultdict
from sklearn.model_selection import train_test_split
from sklearn.ensemble import IsolationForest
from sklearn.impute import SimpleImputer
from anoflows.hpo import find_best_flows
... | 29.234568 | 94 | 0.678209 | 347 | 2,368 | 4.463977 | 0.37464 | 0.027114 | 0.027114 | 0.019367 | 0.018076 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013584 | 0.191723 | 2,368 | 80 | 95 | 29.6 | 0.795716 | 0.066723 | 0 | 0 | 0 | 0 | 0.09673 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.210526 | 0 | 0.210526 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
07702a9eb4e9374ca232b483bdbecbfbdb1917c5 | 840 | py | Python | pydantic/version.py | jamescurtin/pydantic | 4f8f9396906a094626b770fb7cc8eecf03770ffe | [
"MIT"
] | 1 | 2020-02-25T15:28:47.000Z | 2020-02-25T15:28:47.000Z | pydantic/version.py | jamescurtin/pydantic | 4f8f9396906a094626b770fb7cc8eecf03770ffe | [
"MIT"
] | 1 | 2020-01-17T17:12:45.000Z | 2020-01-17T17:12:45.000Z | pydantic/version.py | jamescurtin/pydantic | 4f8f9396906a094626b770fb7cc8eecf03770ffe | [
"MIT"
] | 1 | 2020-12-19T18:00:19.000Z | 2020-12-19T18:00:19.000Z | __all__ = ['VERSION', 'version_info']
VERSION = '1.4a1'
def version_info() -> str:
import platform
import sys
from importlib import import_module
from pathlib import Path
from .main import compiled
optional_deps = []
for p in ('typing-extensions', 'email-validator', 'devtools'):
... | 27.096774 | 101 | 0.589286 | 91 | 840 | 5.263736 | 0.527473 | 0.100209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008065 | 0.261905 | 840 | 30 | 102 | 28 | 0.764516 | 0 | 0 | 0 | 0 | 0 | 0.204762 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.291667 | 0 | 0.375 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
0770f2a922548842dd4151e55d3fc69c6cf5b84c | 2,319 | py | Python | spire/core/registry.py | siq/spire | 6365590277e9a6bfb6e4e0df5b2b47dba0f71711 | [
"Linux-OpenIB"
] | null | null | null | spire/core/registry.py | siq/spire | 6365590277e9a6bfb6e4e0df5b2b47dba0f71711 | [
"Linux-OpenIB"
] | 1 | 2016-09-15T16:19:27.000Z | 2016-09-15T16:20:06.000Z | spire/core/registry.py | siq/spire | 6365590277e9a6bfb6e4e0df5b2b47dba0f71711 | [
"Linux-OpenIB"
] | null | null | null | from scheme import Structure
__all__ = ('Configurable', 'Registry')
class Configurable(object):
"""A sentry class which indicates that subclasses can establish a configuration chain."""
class Registry(object):
"""The unit registry."""
dependencies = {}
schemas = {}
units = {}
@classmethod
... | 34.61194 | 93 | 0.581285 | 219 | 2,319 | 6.091324 | 0.296804 | 0.037481 | 0.033733 | 0.031484 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000647 | 0.333765 | 2,319 | 66 | 94 | 35.136364 | 0.862783 | 0.043984 | 0 | 0.150943 | 0 | 0 | 0.009519 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075472 | false | 0 | 0.018868 | 0.018868 | 0.245283 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |
0771ae571980aa4669298ae5f48b1ac83a19af96 | 2,953 | py | Python | scripts/extract.py | nng555/fairseq | c9730a125825a85f33042e1b9fd1959b8ca829e5 | [
"MIT"
] | 2 | 2020-10-05T08:52:01.000Z | 2021-03-03T15:26:35.000Z | scripts/extract.py | nng555/fairseq | c9730a125825a85f33042e1b9fd1959b8ca829e5 | [
"MIT"
] | null | null | null | scripts/extract.py | nng555/fairseq | c9730a125825a85f33042e1b9fd1959b8ca829e5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Extracts random constraints from reference files."""
import argparse
import random
import sys
from sacrebleu imp... | 31.752688 | 88 | 0.529292 | 330 | 2,953 | 4.639394 | 0.336364 | 0.071848 | 0.055519 | 0.01437 | 0.184193 | 0.128021 | 0.128021 | 0.128021 | 0.128021 | 0.074461 | 0 | 0.0052 | 0.348798 | 2,953 | 92 | 89 | 32.097826 | 0.790952 | 0.088385 | 0 | 0.03125 | 0 | 0 | 0.061194 | 0 | 0 | 0 | 0 | 0 | 0.015625 | 1 | 0.046875 | false | 0 | 0.0625 | 0 | 0.125 | 0.015625 | 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 | 0 | 0 | 0 | 0 | 1 | 0 |