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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8fc56b79ae9b52445ccd630cff6f04a731c8c363 | 2,706 | py | Python | src/mathenjeu/cli/openssl.py | sdpython/mathenjeu | 97fc9140ef89ac9c3c6ba46803121fd5d23eb8d1 | [
"MIT"
] | 1 | 2019-10-12T00:48:35.000Z | 2019-10-12T00:48:35.000Z | src/mathenjeu/cli/openssl.py | sdpython/mathenjeu | 97fc9140ef89ac9c3c6ba46803121fd5d23eb8d1 | [
"MIT"
] | 8 | 2019-01-13T11:52:55.000Z | 2020-11-19T01:27:28.000Z | src/mathenjeu/cli/openssl.py | sdpython/mathenjeu | 97fc9140ef89ac9c3c6ba46803121fd5d23eb8d1 | [
"MIT"
] | null | null | null | """
@file
@brief Starts an app locally to test it.
"""
from OpenSSL import crypto
def create_self_signed_cert(keyfile="key.pem", certfile="cert.pem",
country='FR', state='Paris', location='Paris',
organization='mathenjeu', cn='mathenjeu',
... | 35.142857 | 128 | 0.648189 | 347 | 2,706 | 4.919308 | 0.386167 | 0.032806 | 0.065612 | 0.058582 | 0.282367 | 0.282367 | 0.216755 | 0.186292 | 0.186292 | 0.186292 | 0 | 0.021898 | 0.240577 | 2,706 | 76 | 129 | 35.605263 | 0.808759 | 0.422395 | 0 | 0.060606 | 0 | 0 | 0.094875 | 0.034626 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.030303 | 0 | 0.060606 | 0.030303 | 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 |
8fc8cb9153d75f29f52cbd961e16ca92d1a97e91 | 1,099 | py | Python | .github/rename_to_lowercase.py | openmicroanalysis/calczaf | f95de343dae908c1b3a531b9ed24fa1f5daf3e6d | [
"MIT"
] | 1 | 2021-06-29T17:56:14.000Z | 2021-06-29T17:56:14.000Z | .github/rename_to_lowercase.py | openmicroanalysis/calczaf | f95de343dae908c1b3a531b9ed24fa1f5daf3e6d | [
"MIT"
] | 3 | 2015-12-02T22:29:35.000Z | 2019-02-21T03:30:56.000Z | .github/rename_to_lowercase.py | openmicroanalysis/calczaf | f95de343dae908c1b3a531b9ed24fa1f5daf3e6d | [
"MIT"
] | null | null | null | import os
import shutil
import argparse
def rename(source_path, recursive):
if recursive and os.path.isdir(source_path):
for dir_path, dir_names, filenames in os.walk(source_path):
for name in filenames + dir_names:
rename(os.path.join(dir_path, name), recursive)
dirname, ... | 31.4 | 80 | 0.678799 | 138 | 1,099 | 5.217391 | 0.405797 | 0.083333 | 0.0875 | 0.104167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002302 | 0.209281 | 1,099 | 34 | 81 | 32.323529 | 0.826237 | 0 | 0 | 0 | 0 | 0 | 0.136488 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.12 | 0 | 0.2 | 0.04 | 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 |
8fcb61eebe8ee15539f00118a131def866c5523d | 2,099 | py | Python | drive.py | eshimelis/RCC | 536ec0cc8373fb7d5cd5ca59166d7e55bf6a8643 | [
"MIT"
] | null | null | null | drive.py | eshimelis/RCC | 536ec0cc8373fb7d5cd5ca59166d7e55bf6a8643 | [
"MIT"
] | null | null | null | drive.py | eshimelis/RCC | 536ec0cc8373fb7d5cd5ca59166d7e55bf6a8643 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
import numpy as np
import rospy
from rospy.numpy_msg import numpy_msg
from sensor_msgs.msg import LaserScan
from ackermann_msgs.msg import AckermannDriveStamped
def follow_wall(scan):
####### STUDENT CODE START #######
# use the scan data to appropriately modify 'speed' and 'steering_a... | 30.42029 | 76 | 0.626965 | 241 | 2,099 | 5.207469 | 0.39834 | 0.066932 | 0.051793 | 0.067729 | 0.10757 | 0.047809 | 0 | 0 | 0 | 0 | 0 | 0.003881 | 0.263459 | 2,099 | 69 | 77 | 30.42029 | 0.807891 | 0.226298 | 0 | 0 | 0 | 0 | 0.091623 | 0.066099 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.147059 | 0 | 0.441176 | 0.029412 | 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 |
8fd1772e98d57dfc163eac7dcaf96158ad02de68 | 8,117 | py | Python | rgw/v2/tests/multisite/test_dynamic_bucket_resharding.py | viduship/ceph-qe-scripts | 886619fa6600c24cbf989d65868951b9c3decd72 | [
"MIT"
] | null | null | null | rgw/v2/tests/multisite/test_dynamic_bucket_resharding.py | viduship/ceph-qe-scripts | 886619fa6600c24cbf989d65868951b9c3decd72 | [
"MIT"
] | null | null | null | rgw/v2/tests/multisite/test_dynamic_bucket_resharding.py | viduship/ceph-qe-scripts | 886619fa6600c24cbf989d65868951b9c3decd72 | [
"MIT"
] | null | null | null | import os
import sys
sys.path.append(os.path.abspath(os.path.join(__file__, "../../../..")))
import argparse
import json
import time
import traceback
import v2.lib.resource_op as s3lib
import v2.utils.log as log
import v2.utils.utils as utils
import yaml
from v2.lib.exceptions import TestExecError
from v2.lib.read_io... | 40.585 | 104 | 0.643957 | 1,035 | 8,117 | 4.803865 | 0.200966 | 0.038013 | 0.032582 | 0.014481 | 0.357804 | 0.292237 | 0.273532 | 0.218825 | 0.17136 | 0.136766 | 0 | 0.01025 | 0.254774 | 8,117 | 199 | 105 | 40.788945 | 0.811704 | 0.047801 | 0 | 0.174157 | 0 | 0 | 0.183338 | 0.008292 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016854 | false | 0.005618 | 0.106742 | 0 | 0.129213 | 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 |
8fd22f3b02ea78de31bf1097cb5218ccd7460292 | 5,410 | py | Python | jsondictionary.py | gbarreiro/diccionariojson | 5918ed4b39b418592f16d2baa724c4c1f631c43b | [
"MIT"
] | null | null | null | jsondictionary.py | gbarreiro/diccionariojson | 5918ed4b39b418592f16d2baa724c4c1f631c43b | [
"MIT"
] | null | null | null | jsondictionary.py | gbarreiro/diccionariojson | 5918ed4b39b418592f16d2baa724c4c1f631c43b | [
"MIT"
] | 1 | 2020-12-29T14:11:07.000Z | 2020-12-29T14:11:07.000Z | import os
import sys
import json
from json.decoder import JSONDecodeError
# Program which manages a simple database (a Python dictionary stored in a file)
class Database():
""" Clase que modela la BD sobre la que trabaja el programa. Incluye los métodos necesarios para cargarla y actualizarla en el disco"""
d... | 40.373134 | 139 | 0.58207 | 646 | 5,410 | 4.80031 | 0.304954 | 0.053209 | 0.021928 | 0.012577 | 0.176717 | 0.123186 | 0.123186 | 0.123186 | 0.123186 | 0.123186 | 0 | 0.004105 | 0.324584 | 5,410 | 133 | 140 | 40.676692 | 0.844554 | 0.244177 | 0 | 0.231579 | 0 | 0 | 0.161055 | 0 | 0 | 0 | 0 | 0.007519 | 0 | 1 | 0.094737 | false | 0 | 0.042105 | 0 | 0.168421 | 0.231579 | 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 |
8fd4993d9f2830ffd5acae8b1b2c37958dbdbbf5 | 11,205 | py | Python | create_tf_record.py | goruck/edge-tpu-train | 21608ddf19b736be2639342363ff331ca8b272f3 | [
"MIT"
] | 10 | 2020-07-28T21:00:05.000Z | 2022-02-24T13:35:46.000Z | create_tf_record.py | maxpark/edge-tpu-train | 21608ddf19b736be2639342363ff331ca8b272f3 | [
"MIT"
] | 10 | 2020-07-17T02:19:54.000Z | 2022-03-12T00:41:22.000Z | create_tf_record.py | maxpark/edge-tpu-train | 21608ddf19b736be2639342363ff331ca8b272f3 | [
"MIT"
] | 9 | 2020-10-28T01:17:58.000Z | 2022-03-31T07:34:17.000Z | """
Convert dataset to TFRecord for TF object detection training.
Example usage:
python3 create_tf_record.py \
--root_dir ./ \
--image_dir images \
--annotation_dir annotations \
--output_dir tf-record \
--dataset_name radar-ml
Only datset_name is required.
Based on:
... | 36.858553 | 119 | 0.635341 | 1,372 | 11,205 | 4.94242 | 0.216472 | 0.028314 | 0.024333 | 0.016959 | 0.209704 | 0.125203 | 0.105442 | 0.089515 | 0.068132 | 0.053384 | 0 | 0.005445 | 0.262383 | 11,205 | 304 | 120 | 36.858553 | 0.815003 | 0.187506 | 0 | 0.104762 | 0 | 0 | 0.1537 | 0.020009 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.071429 | 0 | 0.109524 | 0.004762 | 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 |
8fd609f33e73003a14511ee46598d44faf2d22bd | 2,791 | py | Python | Cogs/core.py | Lustidrike/Economy-Bot | f5b989b9086d9c0834555126c275d12381dd108f | [
"MIT"
] | 2 | 2019-09-24T21:44:00.000Z | 2019-09-24T21:44:17.000Z | Cogs/core.py | Lustidrike/Economy-Bot | f5b989b9086d9c0834555126c275d12381dd108f | [
"MIT"
] | 1 | 2021-03-31T14:35:11.000Z | 2021-11-08T17:48:47.000Z | Cogs/core.py | Lustidrike/Economy-Bot | f5b989b9086d9c0834555126c275d12381dd108f | [
"MIT"
] | 1 | 2020-08-16T16:59:57.000Z | 2020-08-16T16:59:57.000Z | import logging
import discord
import datetime
import json
from operator import itemgetter
from discord.ext import commands
from os import linesep
from .base_cog import BaseCog
from conf import config
log = logging.getLogger(__name__)
class Core(BaseCog):
"""A minimal cog for testing."""
def __init__(self, bo... | 32.453488 | 165 | 0.672161 | 344 | 2,791 | 5.290698 | 0.313953 | 0.090659 | 0.069231 | 0.088462 | 0.33956 | 0.33956 | 0.33956 | 0.33956 | 0.31044 | 0.20989 | 0 | 0.000453 | 0.209244 | 2,791 | 85 | 166 | 32.835294 | 0.824196 | 0.01469 | 0 | 0.254902 | 0 | 0 | 0.062823 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0.019608 | 0.176471 | 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 |
8fda72af2a11ecb22d4d1d7e69668167ef276bd0 | 1,008 | py | Python | tests/test_rendering/test_delta.py | ryu57/pyHalo | 61b9ab49d76f3552f5680b2e457fbd3e49b9cc89 | [
"MIT"
] | 7 | 2020-12-09T23:58:34.000Z | 2022-03-13T12:18:32.000Z | tests/test_rendering/test_delta.py | ryu57/pyHalo | 61b9ab49d76f3552f5680b2e457fbd3e49b9cc89 | [
"MIT"
] | 8 | 2020-10-12T21:30:22.000Z | 2022-01-25T16:04:54.000Z | tests/test_rendering/test_delta.py | ryu57/pyHalo | 61b9ab49d76f3552f5680b2e457fbd3e49b9cc89 | [
"MIT"
] | 6 | 2021-06-07T16:30:41.000Z | 2022-01-12T16:58:04.000Z | import numpy.testing as npt
import pytest
import numpy as np
from pyHalo.Rendering.MassFunctions.delta import DeltaFunction
class TestBackgroundDensityDelta(object):
def setup(self):
self.mass = 0.01
self.volume = 10
self.rho = 10
self.mfunc = DeltaFunction(self.mass, self.volume,... | 28 | 103 | 0.638889 | 138 | 1,008 | 4.507246 | 0.34058 | 0.07717 | 0.11254 | 0.109325 | 0.368167 | 0.257235 | 0.257235 | 0.135048 | 0.135048 | 0.135048 | 0 | 0.018617 | 0.253968 | 1,008 | 35 | 104 | 28.8 | 0.808511 | 0 | 0 | 0.153846 | 0 | 0 | 0.007937 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.269231 | 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 |
8fdacbeae6f9e86eed514fcf51543bad698647f9 | 4,716 | py | Python | LayeredGraphAPI/VisualizeGraph.py | whytestalyon/LayeredGraph | f7126d50b5d362c6e9302244de268c34ca9c31b0 | [
"Apache-2.0"
] | null | null | null | LayeredGraphAPI/VisualizeGraph.py | whytestalyon/LayeredGraph | f7126d50b5d362c6e9302244de268c34ca9c31b0 | [
"Apache-2.0"
] | 1 | 2020-03-06T16:00:11.000Z | 2020-03-06T16:00:11.000Z | LayeredGraphAPI/VisualizeGraph.py | whytestalyon/LayeredGraph | f7126d50b5d362c6e9302244de268c34ca9c31b0 | [
"Apache-2.0"
] | 2 | 2019-01-15T01:32:56.000Z | 2019-11-12T15:58:43.000Z | #!/usr/bin/env python
'''
VisualizeGraph.py
This file contains helpful sub-routines for generating images from a Random Walk run.
'''
import math
import os
import struct
from LayeredGraph import LayeredGraph
def saveGraphImage(mg, outFN, rankings=None, minWeight=0.0, drawEdgeWeights=False, nodeTypes=None):
'''
... | 43.666667 | 135 | 0.550254 | 596 | 4,716 | 4.325503 | 0.330537 | 0.016292 | 0.013964 | 0.032583 | 0.131497 | 0.069822 | 0 | 0 | 0 | 0 | 0 | 0.016731 | 0.340967 | 4,716 | 108 | 136 | 43.666667 | 0.812741 | 0.417727 | 0 | 0.117647 | 0 | 0 | 0.064773 | 0.008712 | 0 | 0 | 0 | 0.009259 | 0 | 1 | 0.039216 | false | 0 | 0.078431 | 0 | 0.117647 | 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 |
8fdadfd6b7318f2fb0f818d5d171f52fa0f3f300 | 6,881 | py | Python | MyBot/hlt.py | ranb2002/halite | 85bce75c10ab89c563e9e5cc34e8a221fdc74f42 | [
"MIT"
] | null | null | null | MyBot/hlt.py | ranb2002/halite | 85bce75c10ab89c563e9e5cc34e8a221fdc74f42 | [
"MIT"
] | null | null | null | MyBot/hlt.py | ranb2002/halite | 85bce75c10ab89c563e9e5cc34e8a221fdc74f42 | [
"MIT"
] | null | null | null | import sys
import math
import heapq
from collections import namedtuple
from itertools import chain, zip_longest
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx"
args = [iter(iterable)] * n
return zip_longest(*args... | 38.657303 | 170 | 0.596425 | 907 | 6,881 | 4.403528 | 0.227122 | 0.029294 | 0.019529 | 0.006009 | 0.190786 | 0.135704 | 0.090135 | 0.090135 | 0.090135 | 0.090135 | 0 | 0.018349 | 0.271327 | 6,881 | 177 | 171 | 38.875706 | 0.778221 | 0.143438 | 0 | 0.015152 | 0 | 0.015152 | 0.108104 | 0 | 0 | 0 | 0 | 0 | 0.030303 | 1 | 0.151515 | false | 0 | 0.037879 | 0.022727 | 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 |
8fdcf04045655bc17942f9bca87ae63747446edb | 2,389 | py | Python | server/attender-mobile/api/facebook_login.py | denbedilov/SIStore | da8e6f38170959efe756bafe2f83adcf1fbb14a4 | [
"MIT"
] | null | null | null | server/attender-mobile/api/facebook_login.py | denbedilov/SIStore | da8e6f38170959efe756bafe2f83adcf1fbb14a4 | [
"MIT"
] | null | null | null | server/attender-mobile/api/facebook_login.py | denbedilov/SIStore | da8e6f38170959efe756bafe2f83adcf1fbb14a4 | [
"MIT"
] | null | null | null | __author__ = 'itamar'
import sys
from engine.facebook_logic import fb_logic
import logging
import webapp2
from engine.DAL import DAL
sys.path.insert(0, 'lib') #we need this line in order to make libraries imported from lib folder work properly
import requests
FACEBOOK_APP_ID = "683953828381840"
class APILoginHandl... | 32.283784 | 119 | 0.551277 | 259 | 2,389 | 4.942085 | 0.378378 | 0.075 | 0.066406 | 0.065625 | 0.079688 | 0.079688 | 0.054688 | 0.054688 | 0 | 0 | 0 | 0.02235 | 0.344496 | 2,389 | 74 | 120 | 32.283784 | 0.795019 | 0.034743 | 0 | 0.166667 | 0 | 0 | 0.079358 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.216667 | 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 |
8fddaa46f409381998e02d2d70d806b3585116f9 | 2,996 | py | Python | hashing/LinkedList.py | iamlmn/PyDS | 11b00629a91e8231eea7f8feb7c3c6065fdb1ce5 | [
"MIT"
] | null | null | null | hashing/LinkedList.py | iamlmn/PyDS | 11b00629a91e8231eea7f8feb7c3c6065fdb1ce5 | [
"MIT"
] | null | null | null | hashing/LinkedList.py | iamlmn/PyDS | 11b00629a91e8231eea7f8feb7c3c6065fdb1ce5 | [
"MIT"
] | null | null | null | class _Node:
__slots__ = '_element', '_next'
def __init__(self, element, next):
self._element = element
self._next = next
class LinkedList:
def __init__(self):
self._head = None
self._tail = None
self._size = 0
def __len__(self):
return se... | 24.357724 | 42 | 0.437583 | 334 | 2,996 | 3.658683 | 0.131737 | 0.124386 | 0.051555 | 0.0491 | 0.40671 | 0.348609 | 0.317512 | 0.243044 | 0.243044 | 0.179214 | 0 | 0.013224 | 0.46996 | 2,996 | 122 | 43 | 24.557377 | 0.756297 | 0 | 0 | 0.574074 | 0 | 0 | 0.014619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12037 | false | 0 | 0 | 0.018519 | 0.231481 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8fdf3ea0d8d65163228f397b06ee77dbf23617ec | 806 | py | Python | signalbot/functions/trivia.py | pblaas/signalbot | 11d9b5fdcc63ddbc99ea817b0fcdb6a6d3cc42da | [
"MIT"
] | null | null | null | signalbot/functions/trivia.py | pblaas/signalbot | 11d9b5fdcc63ddbc99ea817b0fcdb6a6d3cc42da | [
"MIT"
] | null | null | null | signalbot/functions/trivia.py | pblaas/signalbot | 11d9b5fdcc63ddbc99ea817b0fcdb6a6d3cc42da | [
"MIT"
] | null | null | null | """Trivia module."""
import urllib3
import json
import random
import html
class Trivia:
"""Defining base class for inheritence."""
@staticmethod
def trivia():
"""Get random questions from opentdb trivia API."""
http = urllib3.PoolManager()
req_return = http.request('GET', 'https:... | 29.851852 | 80 | 0.635236 | 94 | 806 | 5.297872 | 0.542553 | 0.080321 | 0.10241 | 0.108434 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012678 | 0.217122 | 806 | 26 | 81 | 31 | 0.776545 | 0.120347 | 0 | 0 | 0 | 0 | 0.294372 | 0.077922 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.210526 | 0 | 0.368421 | 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 |
8fe525e1bcdcf2d80e15cfd4df2b184377d84c8c | 4,365 | py | Python | dashboard/dashboard/services/swarming_service_test.py | ravitejavalluri/catapult | 246a39a82c2213d913a96fff020a263838dc76e6 | [
"BSD-3-Clause"
] | null | null | null | dashboard/dashboard/services/swarming_service_test.py | ravitejavalluri/catapult | 246a39a82c2213d913a96fff020a263838dc76e6 | [
"BSD-3-Clause"
] | null | null | null | dashboard/dashboard/services/swarming_service_test.py | ravitejavalluri/catapult | 246a39a82c2213d913a96fff020a263838dc76e6 | [
"BSD-3-Clause"
] | 1 | 2020-07-24T05:13:01.000Z | 2020-07-24T05:13:01.000Z | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import unittest
import json
import mock
from dashboard.services import swarming_service
class _SwarmingTest(unittest.TestCase):
def setUp(self):
p... | 30.524476 | 73 | 0.666208 | 451 | 4,365 | 6.21286 | 0.332594 | 0.069593 | 0.035689 | 0.118844 | 0.37616 | 0.342612 | 0.325482 | 0.3005 | 0.194861 | 0.045682 | 0 | 0.026781 | 0.195876 | 4,365 | 142 | 74 | 30.739437 | 0.77151 | 0.03551 | 0 | 0.207547 | 0 | 0 | 0.177603 | 0.053257 | 0 | 0 | 0 | 0 | 0.226415 | 1 | 0.150943 | false | 0 | 0.037736 | 0 | 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 |
8fe5d7b26c0ea9f708ffcc671befa4d94503df4f | 3,199 | py | Python | ssh_tarpit/utils.py | Snawoot/ssh-tarp | 8c10f1d94497de246b37cf00cb19a5359cccc1e5 | [
"Unlicense"
] | 24 | 2019-08-23T23:45:42.000Z | 2022-03-01T04:21:19.000Z | ssh_tarpit/utils.py | Snawoot/ssh-tarp | 8c10f1d94497de246b37cf00cb19a5359cccc1e5 | [
"Unlicense"
] | 8 | 2021-03-08T15:10:06.000Z | 2021-06-16T11:04:54.000Z | ssh_tarpit/utils.py | Snawoot/ssh-tarp | 8c10f1d94497de246b37cf00cb19a5359cccc1e5 | [
"Unlicense"
] | 5 | 2021-03-13T06:49:10.000Z | 2022-02-28T09:25:22.000Z | import asyncio
import logging
import logging.handlers
import os
import queue
class Heartbeat:
def __init__(self, interval=.5):
self._interval = interval
self._beat = None
async def heartbeat(self):
while True:
await asyncio.sleep(self._interval)
async def __aenter__(s... | 25.388889 | 72 | 0.589872 | 336 | 3,199 | 5.39881 | 0.324405 | 0.026461 | 0.018192 | 0.015436 | 0.030871 | 0.030871 | 0 | 0 | 0 | 0 | 0 | 0.002745 | 0.316661 | 3,199 | 125 | 73 | 25.592 | 0.827081 | 0.004064 | 0 | 0.103093 | 0 | 0 | 0.021357 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.164948 | false | 0.030928 | 0.072165 | 0.020619 | 0.42268 | 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 |
8fe650bd344f12877d6483ceb013ce5a8f97a5b9 | 41,012 | py | Python | luna/gateware/interface/serdes_phy/xc7_gtp.py | shrine-maiden-heavy-industries/luna | 6e737ea004d64c0b81de13e68657fecb45f93c1b | [
"BSD-3-Clause"
] | null | null | null | luna/gateware/interface/serdes_phy/xc7_gtp.py | shrine-maiden-heavy-industries/luna | 6e737ea004d64c0b81de13e68657fecb45f93c1b | [
"BSD-3-Clause"
] | null | null | null | luna/gateware/interface/serdes_phy/xc7_gtp.py | shrine-maiden-heavy-industries/luna | 6e737ea004d64c0b81de13e68657fecb45f93c1b | [
"BSD-3-Clause"
] | null | null | null | #
# This file is part of LUNA.
#
# Copyright (c) 2020 Great Scott Gadgets <info@greatscottgadgets.com>
# Copyright (c) 2020 Florent Kermarrec <florent@enjoy-digital.fr>
#
# Code based in part on ``litex`` and ``liteiclink``.
# SPDX-License-Identifier: BSD-3-Clause
""" Soft PIPE backend for the Xilinx 7 Series GTP trans... | 39.510597 | 100 | 0.467961 | 4,028 | 41,012 | 4.427507 | 0.229643 | 0.006617 | 0.006673 | 0.006729 | 0.139957 | 0.077997 | 0.031849 | 0.00785 | 0.00785 | 0.00785 | 0 | 0.080093 | 0.463279 | 41,012 | 1,037 | 101 | 39.548698 | 0.730102 | 0.142958 | 0 | 0.042796 | 0 | 0.001427 | 0.043981 | 0.004648 | 0 | 0 | 0.008119 | 0 | 0.005706 | 1 | 0.011412 | false | 0.007133 | 0.008559 | 0 | 0.031384 | 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 |
8fe7efedfa8f56385459dfe830c3948c64e75c65 | 2,202 | py | Python | src/image_scripts/paper/PS_0p0V_a.py | flaviu-gostin/xrd_analysis_workflow | 47699b88d3e603ea1cc80079d59bd084a68d9bdb | [
"MIT"
] | 2 | 2020-09-11T19:49:30.000Z | 2021-11-17T09:23:49.000Z | src/image_scripts/paper/PS_0p0V_a.py | flaviu-gostin/xrd_analysis_workflow | 47699b88d3e603ea1cc80079d59bd084a68d9bdb | [
"MIT"
] | 1 | 2020-11-21T19:51:10.000Z | 2020-11-21T19:51:10.000Z | src/image_scripts/paper/PS_0p0V_a.py | flaviu-gostin/xrd_analysis_workflow | 47699b88d3e603ea1cc80079d59bd084a68d9bdb | [
"MIT"
] | null | null | null | """Create a powder diffraction figure"""
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
import sys
sys.path.append('..')
from plot_diffraction_patterns import powder_diffr_fig
measured_patterns_dir = "../../../results/intermediate/integrated_1D/PS_0p0V_a"
reference_peaks_dir = "../../..... | 35.516129 | 80 | 0.600363 | 269 | 2,202 | 4.698885 | 0.431227 | 0.039557 | 0.072785 | 0.061709 | 0.130538 | 0.130538 | 0.078323 | 0 | 0 | 0 | 0 | 0.051471 | 0.258856 | 2,202 | 61 | 81 | 36.098361 | 0.723039 | 0.099909 | 0 | 0.04878 | 0 | 0 | 0.15533 | 0.068528 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.097561 | 0 | 0.097561 | 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 |
8fe97bb9e8bdef14a32c685ef3d9f30bd722998a | 416 | py | Python | clusim/__init__.py | yy/clusim | 5d3081d74e08d3e42e99f27834e1f9408af222a1 | [
"MIT"
] | 2 | 2019-01-13T19:21:09.000Z | 2022-03-04T17:05:42.000Z | clusim/__init__.py | yy/clusim | 5d3081d74e08d3e42e99f27834e1f9408af222a1 | [
"MIT"
] | null | null | null | clusim/__init__.py | yy/clusim | 5d3081d74e08d3e42e99f27834e1f9408af222a1 | [
"MIT"
] | null | null | null | __package__ = 'clusim'
__title__ = 'CluSim: A python package for clustering similarity'
__description__ = 'This package implements a series of methods to compare \
disjoint, overlapping, and hierarchical clusterings.'
__copyright__ = '2017, Gates, A.J., Ahn YY'
__author__ = """\n""".join([
'Alexander J Gates ... | 27.733333 | 75 | 0.701923 | 52 | 416 | 5.076923 | 0.788462 | 0.015152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028736 | 0.163462 | 416 | 14 | 76 | 29.714286 | 0.729885 | 0 | 0 | 0 | 0 | 0 | 0.358173 | 0.050481 | 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 |
8feab8882dff671c56c9fbfeba6ac87921f9199e | 8,132 | py | Python | online_main.py | samar-khanna/cs224w-project | 50b255f87fe395cb8b638ec599825af2d1fc172b | [
"MIT"
] | 2 | 2022-03-06T17:14:12.000Z | 2022-03-11T13:37:59.000Z | online_main.py | samar-khanna/cs224w-project | 50b255f87fe395cb8b638ec599825af2d1fc172b | [
"MIT"
] | null | null | null | online_main.py | samar-khanna/cs224w-project | 50b255f87fe395cb8b638ec599825af2d1fc172b | [
"MIT"
] | 2 | 2022-03-06T16:26:39.000Z | 2022-03-06T17:14:20.000Z | import os
import torch
import pickle
import argparse
import torch.optim as optim
from gnn_stack import GNNStack
from link_predictor import LinkPredictor
from torch_geometric.data import DataLoader
from ogb.linkproppred import PygLinkPropPredDataset
from train import train
from online_train import online_train
from onl... | 46.204545 | 113 | 0.65728 | 1,181 | 8,132 | 4.237934 | 0.176969 | 0.028771 | 0.01998 | 0.025175 | 0.267133 | 0.224975 | 0.142058 | 0.120879 | 0.085714 | 0.085714 | 0 | 0.008714 | 0.223807 | 8,132 | 175 | 114 | 46.468571 | 0.784221 | 0.060994 | 0 | 0.015038 | 0 | 0.015038 | 0.210602 | 0.070201 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007519 | false | 0.015038 | 0.097744 | 0 | 0.112782 | 0.06015 | 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 |
8feb7480e4bbc54978c0c32f4a7ee1a2f74788fe | 13,618 | py | Python | playground/simulation/forwardtesting/session.py | murlokito/playground | 405a7091bbfd6705db967e872ed6c4591bd892e6 | [
"MIT"
] | null | null | null | playground/simulation/forwardtesting/session.py | murlokito/playground | 405a7091bbfd6705db967e872ed6c4591bd892e6 | [
"MIT"
] | null | null | null | playground/simulation/forwardtesting/session.py | murlokito/playground | 405a7091bbfd6705db967e872ed6c4591bd892e6 | [
"MIT"
] | null | null | null | __title__ = "simulation"
__author__ = "murlux"
__copyright__ = "Copyright 2019, " + __author__
__credits__ = (__author__, )
__license__ = "MIT"
__email__ = "murlux@protonmail.com"
import bokeh.plotting
import pandas as pd
import numpy as np
import warnings
import time
import logging
from datetime import datetime as dt... | 41.773006 | 123 | 0.561463 | 1,574 | 13,618 | 4.658196 | 0.187421 | 0.05401 | 0.019504 | 0.008729 | 0.364021 | 0.313284 | 0.290644 | 0.282051 | 0.282051 | 0.241408 | 0 | 0.013773 | 0.306873 | 13,618 | 326 | 124 | 41.773006 | 0.763005 | 0.106844 | 0 | 0.224066 | 0 | 0.008299 | 0.118584 | 0.006911 | 0 | 0 | 0 | 0.003067 | 0 | 1 | 0.033195 | false | 0.008299 | 0.062241 | 0.008299 | 0.190871 | 0.004149 | 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 |
8ff1e45352cd99cbac855e077cebbf9c64db6800 | 12,868 | py | Python | ahrs/filters/roleq.py | jaluebbe/ahrs | 4b4a33b1006e0d455a71ac8379a2697202361758 | [
"MIT"
] | null | null | null | ahrs/filters/roleq.py | jaluebbe/ahrs | 4b4a33b1006e0d455a71ac8379a2697202361758 | [
"MIT"
] | null | null | null | ahrs/filters/roleq.py | jaluebbe/ahrs | 4b4a33b1006e0d455a71ac8379a2697202361758 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Recursive Optimal Linear Estimator of Quaternion
================================================
This is a modified `OLEQ <./oleq.html>`_, where a recursive estimation of the
attitude is made with the measured angular velocity [Zhou2018]_. This
estimation is set as the initial value for th... | 38.41194 | 130 | 0.559994 | 1,897 | 12,868 | 3.698471 | 0.16816 | 0.008552 | 0.037058 | 0.040764 | 0.337799 | 0.289481 | 0.265251 | 0.251995 | 0.215792 | 0.202965 | 0 | 0.02548 | 0.283261 | 12,868 | 334 | 131 | 38.526946 | 0.735227 | 0.560149 | 0 | 0.082474 | 0 | 0 | 0.042728 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072165 | false | 0.020619 | 0.051546 | 0 | 0.195876 | 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 |
8ff331bc3a412efbad4a3a5552077887b1637581 | 9,475 | py | Python | test/integration_test/test_bad_network.py | heshu-by/likelib-ws | 85987d328dc274622f4b758afa1b6af43d15564f | [
"Apache-2.0"
] | null | null | null | test/integration_test/test_bad_network.py | heshu-by/likelib-ws | 85987d328dc274622f4b758afa1b6af43d15564f | [
"Apache-2.0"
] | null | null | null | test/integration_test/test_bad_network.py | heshu-by/likelib-ws | 85987d328dc274622f4b758afa1b6af43d15564f | [
"Apache-2.0"
] | null | null | null | from tester import test_case, Env, NodeConfig, Id, TEST_CHECK, TEST_CHECK_EQUAL,\
ClientType, get_distributor_address_path, TransactionStatusCode
from time import sleep
import subprocess, os
from random import randrange
def log_subprocess_output(pipe, env):
for line in iter(pipe.readline, b''):... | 46.446078 | 117 | 0.731504 | 1,309 | 9,475 | 5.016807 | 0.123759 | 0.057561 | 0.04751 | 0.038069 | 0.6522 | 0.636059 | 0.60134 | 0.575148 | 0.56388 | 0.56388 | 0 | 0.019553 | 0.16876 | 9,475 | 203 | 118 | 46.674877 | 0.814246 | 0.027441 | 0 | 0.518072 | 0 | 0 | 0.130104 | 0.020743 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036145 | false | 0 | 0.024096 | 0 | 0.090361 | 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 |
8ff94ac0731085a0d5493ef70f80657677ea8039 | 1,398 | py | Python | ymir/backend/src/ymir_viz/tests/controllers/test_dataset_controller.py | Zhang-SJ930104/ymir | dd6481be6f229ade4cf8fba64ef44a15357430c4 | [
"Apache-2.0"
] | 64 | 2021-11-15T03:48:00.000Z | 2022-03-25T07:08:46.000Z | ymir/backend/src/ymir_viz/tests/controllers/test_dataset_controller.py | Zhang-SJ930104/ymir | dd6481be6f229ade4cf8fba64ef44a15357430c4 | [
"Apache-2.0"
] | 35 | 2021-11-23T04:14:35.000Z | 2022-03-26T09:03:43.000Z | ymir/backend/src/ymir_viz/tests/controllers/test_dataset_controller.py | Aryalfrat/ymir | d4617ed00ef67a77ab4e1944763f608bface4be6 | [
"Apache-2.0"
] | 57 | 2021-11-11T10:15:40.000Z | 2022-03-29T07:27:54.000Z | from mir.tools.mir_storage_ops import MirStorageOps
class TestDatasetController:
def test_get_dataset_info(self, test_client, mocker):
user_id = "user_id"
repo_id = "repo_id"
branch_id = "branch_id"
mir_dataset_content = {
"class_names_count": {
'cat': ... | 29.744681 | 107 | 0.489986 | 137 | 1,398 | 4.635037 | 0.467153 | 0.085039 | 0.107087 | 0.113386 | 0.387402 | 0.280315 | 0.280315 | 0.280315 | 0.280315 | 0.280315 | 0 | 0.026253 | 0.400572 | 1,398 | 46 | 108 | 30.391304 | 0.731504 | 0.027182 | 0 | 0.04878 | 0 | 0 | 0.276141 | 0.092784 | 0 | 0 | 0 | 0 | 0.04878 | 1 | 0.02439 | false | 0 | 0.02439 | 0 | 0.073171 | 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 |
8ffb9bb104fc4ecdc1b59a3518ce4c5fd9a36d4b | 1,145 | py | Python | core/ctrl/notifications.py | prochor666/ctrl | bb6bef2dd8e0690f632be4990e8564bfe4c1e859 | [
"MIT"
] | null | null | null | core/ctrl/notifications.py | prochor666/ctrl | bb6bef2dd8e0690f632be4990e8564bfe4c1e859 | [
"MIT"
] | null | null | null | core/ctrl/notifications.py | prochor666/ctrl | bb6bef2dd8e0690f632be4990e8564bfe4c1e859 | [
"MIT"
] | null | null | null | from core import app, data, utils
from core.ctrl import mailer
def list_notifications(filter_data, sort_data=None):
finder = {
'collection': 'notifications',
'filter': filter_data,
'sort': sort_data
}
return data.ex(finder)
def email(case, template, subject, html_message_data, at... | 27.261905 | 66 | 0.570306 | 128 | 1,145 | 4.875 | 0.390625 | 0.088141 | 0.072115 | 0.038462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.30131 | 1,145 | 41 | 67 | 27.926829 | 0.78 | 0 | 0 | 0 | 0 | 0 | 0.129258 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.058824 | 0 | 0.176471 | 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 |
8904c57096c354f788916e14175c19f20d188140 | 3,147 | py | Python | fileWork.py | codedandy/imageRenamer | c7795a406fed3f424d6d2e199dd615350fe00c49 | [
"MIT"
] | null | null | null | fileWork.py | codedandy/imageRenamer | c7795a406fed3f424d6d2e199dd615350fe00c49 | [
"MIT"
] | null | null | null | fileWork.py | codedandy/imageRenamer | c7795a406fed3f424d6d2e199dd615350fe00c49 | [
"MIT"
] | null | null | null | import os
import os.path
import shutil
import urllib.parse
def openReadFile(filePath):
try:
openFile = open(filePath)
readFile = openFile.read()
openFile.close()
return readFile
except Exception:
print("Problem reading file, aborting.")
quit()
def createBackup... | 32.443299 | 109 | 0.576104 | 312 | 3,147 | 5.804487 | 0.304487 | 0.026505 | 0.019879 | 0.033131 | 0.323578 | 0.242408 | 0.189398 | 0.157924 | 0.111541 | 0.065157 | 0 | 0.01085 | 0.297108 | 3,147 | 97 | 110 | 32.443299 | 0.807414 | 0 | 0 | 0.240506 | 0 | 0.012658 | 0.259212 | 0.093393 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075949 | false | 0.025316 | 0.050633 | 0 | 0.164557 | 0.126582 | 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 |
8904f49aef9db23d6afd2eea0a9d01ce4beef6a7 | 3,554 | py | Python | zeropdk/default_library/io.py | lightwave-lab/zeropdk | cc49eb1008c449185cf9dcdbb283ba086ebd8de0 | [
"MIT"
] | 17 | 2019-08-22T15:55:50.000Z | 2022-02-02T20:52:00.000Z | zeropdk/default_library/io.py | lightwave-lab/zeropdk | cc49eb1008c449185cf9dcdbb283ba086ebd8de0 | [
"MIT"
] | 1 | 2020-09-29T00:43:38.000Z | 2020-10-27T07:15:01.000Z | zeropdk/default_library/io.py | lightwave-lab/zeropdk | cc49eb1008c449185cf9dcdbb283ba086ebd8de0 | [
"MIT"
] | 3 | 2019-09-04T07:48:35.000Z | 2021-06-16T09:39:42.000Z | from zeropdk.pcell import (
PCell,
PCellParameter,
TypeDouble,
TypeInt,
TypeLayer,
TypePoint,
Port,
ParamContainer,
)
from zeropdk.layout import insert_shape
from zeropdk.layout.polygons import rectangle
from klayout.db import DPoint, DVector
pad_width = PCellParameter(
name="pad_w... | 27.129771 | 98 | 0.64969 | 464 | 3,554 | 4.803879 | 0.217672 | 0.080754 | 0.026918 | 0.02288 | 0.139076 | 0.096904 | 0.069987 | 0 | 0 | 0 | 0 | 0.011679 | 0.229038 | 3,554 | 130 | 99 | 27.338462 | 0.801825 | 0.074001 | 0 | 0.159091 | 0 | 0 | 0.096248 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056818 | false | 0 | 0.045455 | 0 | 0.215909 | 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 |
8908edcf96eefb5b56200a032729fbdafb7498d2 | 26,374 | py | Python | MILWRM/ST.py | codyheiser/H2-tissue-labeling | 713a7580f17987f36af73562e06f25d1b92f51c4 | [
"MIT"
] | null | null | null | MILWRM/ST.py | codyheiser/H2-tissue-labeling | 713a7580f17987f36af73562e06f25d1b92f51c4 | [
"MIT"
] | null | null | null | MILWRM/ST.py | codyheiser/H2-tissue-labeling | 713a7580f17987f36af73562e06f25d1b92f51c4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Functions and classes for manipulating 10X Visium spatial transcriptomic (ST) and
histological imaging data
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import seaborn as sns
import scanpy as sc
sc.set_figure_params(dpi=1... | 36.990182 | 113 | 0.574733 | 3,327 | 26,374 | 4.436129 | 0.136159 | 0.054204 | 0.066942 | 0.08239 | 0.474964 | 0.444068 | 0.421844 | 0.381733 | 0.327868 | 0.292906 | 0 | 0.009319 | 0.300182 | 26,374 | 712 | 114 | 37.042135 | 0.790323 | 0.240047 | 0 | 0.418651 | 0 | 0 | 0.194389 | 0.01431 | 0 | 0 | 0 | 0 | 0.02381 | 1 | 0.009921 | false | 0.001984 | 0.021825 | 0 | 0.047619 | 0.039683 | 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 |
890a5161d6eed2959007d6f815eb9b7dd35c2414 | 2,541 | py | Python | src/main.py | chanleoc/kbc_demo | 9138de9083d92f5c8bab1dfc42d3dde50544920d | [
"MIT"
] | null | null | null | src/main.py | chanleoc/kbc_demo | 9138de9083d92f5c8bab1dfc42d3dde50544920d | [
"MIT"
] | null | null | null | src/main.py | chanleoc/kbc_demo | 9138de9083d92f5c8bab1dfc42d3dde50544920d | [
"MIT"
] | 1 | 2019-02-01T19:37:30.000Z | 2019-02-01T19:37:30.000Z | "__author__ = 'Leo Chan'"
"__credits__ = 'Keboola 2019'"
"__project__ = 'kbc_demo'"
"""
Python 3 environment
"""
#import pip
#pip.main(['install', '--disable-pip-version-check', '--no-cache-dir', 'logging_gelf'])
import sys
import os
import logging
import csv
import json
import pandas as pd
import logging_gelf.form... | 23.1 | 93 | 0.69815 | 335 | 2,541 | 5.059701 | 0.364179 | 0.051917 | 0.031858 | 0.020059 | 0.264307 | 0.234808 | 0.234808 | 0.234808 | 0.234808 | 0.234808 | 0 | 0.005169 | 0.162534 | 2,541 | 109 | 94 | 23.311927 | 0.791353 | 0.19205 | 0 | 0.2 | 0 | 0 | 0.219528 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06 | false | 0 | 0.18 | 0 | 0.3 | 0.06 | 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 |
890cb45c8ba1a1a9867fe4cb3e4acf45b6533679 | 5,504 | py | Python | peac_pkg/contourer.py | emcramer/peac | 74a3b7c5885d84a0b6e1dfadd887d08aa3967866 | [
"MIT"
] | null | null | null | peac_pkg/contourer.py | emcramer/peac | 74a3b7c5885d84a0b6e1dfadd887d08aa3967866 | [
"MIT"
] | null | null | null | peac_pkg/contourer.py | emcramer/peac | 74a3b7c5885d84a0b6e1dfadd887d08aa3967866 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 8 10:01:34 2019
@author: ecramer
"""
import numpy as np
from scipy import interpolate
from skimage.feature import peak_local_max
class Contourer():
""" TODO: Full writeup of class documentation here.
Steps:
1. generate the contours for each factor... | 39.597122 | 112 | 0.553779 | 729 | 5,504 | 3.997257 | 0.263374 | 0.038435 | 0.026767 | 0.02059 | 0.134523 | 0.115992 | 0.115992 | 0.061084 | 0.061084 | 0.061084 | 0 | 0.021607 | 0.344113 | 5,504 | 139 | 113 | 39.597122 | 0.785596 | 0.26508 | 0 | 0.115385 | 0 | 0 | 0.024282 | 0 | 0 | 0 | 0 | 0.007194 | 0 | 1 | 0.089744 | false | 0.012821 | 0.038462 | 0.012821 | 0.192308 | 0.012821 | 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 |
890cd66cad388ad20cba21addbcdb0f32f1ebfc7 | 1,344 | py | Python | cert_core/cert_store/config.py | johnykkwan/cert-core | 40fdf04bdc255de1b36ca1f99fae10e6994858a1 | [
"MIT"
] | 13 | 2017-03-10T01:03:08.000Z | 2021-06-05T14:13:35.000Z | cert_core/cert_store/config.py | johnykkwan/cert-core | 40fdf04bdc255de1b36ca1f99fae10e6994858a1 | [
"MIT"
] | 2 | 2018-05-09T23:37:21.000Z | 2018-05-09T23:49:56.000Z | cert_core/cert_store/config.py | johnykkwan/cert-core | 40fdf04bdc255de1b36ca1f99fae10e6994858a1 | [
"MIT"
] | 14 | 2017-05-27T16:21:43.000Z | 2022-02-12T16:25:21.000Z | import os
import configargparse
BASE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir))
def create_config():
p = configargparse.getArgumentParser(default_config_files=[os.path.join(BASE_DIR, 'conf_test.ini'),
os.path.join(BASE... | 42 | 110 | 0.614583 | 171 | 1,344 | 4.602339 | 0.421053 | 0.045743 | 0.050826 | 0.053367 | 0.179161 | 0.087675 | 0.060991 | 0 | 0 | 0 | 0 | 0.007099 | 0.266369 | 1,344 | 31 | 111 | 43.354839 | 0.791075 | 0 | 0 | 0.086957 | 0 | 0 | 0.267857 | 0.040923 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.086957 | 0 | 0.304348 | 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 |
89170f8e42f9d4e440f81502dbb93240f0f1b350 | 11,203 | py | Python | Data_Structures/Graph/unweighted_graph.py | D-Chase-H/PurePy-Data-Structures | 892b9666a80054f4524c090a7b442b125c372403 | [
"MIT"
] | null | null | null | Data_Structures/Graph/unweighted_graph.py | D-Chase-H/PurePy-Data-Structures | 892b9666a80054f4524c090a7b442b125c372403 | [
"MIT"
] | 1 | 2017-12-15T04:13:08.000Z | 2017-12-15T04:13:08.000Z | Data_Structures/Graph/unweighted_graph.py | D-Chase-H/PurePy-Data-Structures | 892b9666a80054f4524c090a7b442b125c372403 | [
"MIT"
] | null | null | null |
# Author: D-Chase-H
"""
License:
MIT License
Copyright (c) 2017 Dustin Chase Harmon
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limita... | 28.652174 | 84 | 0.496028 | 1,243 | 11,203 | 4.224457 | 0.170555 | 0.022853 | 0.013712 | 0.011426 | 0.403733 | 0.374595 | 0.336126 | 0.336126 | 0.322986 | 0.31156 | 0 | 0.00694 | 0.369722 | 11,203 | 390 | 85 | 28.725641 | 0.736723 | 0.136214 | 0 | 0.479452 | 0 | 0 | 0.021537 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073059 | false | 0 | 0.013699 | 0 | 0.200913 | 0.03653 | 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 |
8919dcadf341d13761481e587ce0aa0f760975fb | 3,550 | py | Python | buildtest/tools/unittests.py | buildntest/buildtest | d371048631cdd33ae7bf66f795f5afed83491a90 | [
"MIT"
] | 29 | 2017-10-20T02:47:10.000Z | 2020-03-26T17:24:03.000Z | buildtest/tools/unittests.py | shahzebsiddiqui/testgen-HPC | e69d9334cf2939af4fca59e75f397b0b1edbbfaf | [
"MIT"
] | 219 | 2017-08-25T13:21:53.000Z | 2020-04-18T19:07:05.000Z | buildtest/tools/unittests.py | shahzebsiddiqui/BuildTest | 5a04641f37ba588c906112b3848249b241061a9c | [
"MIT"
] | 5 | 2017-08-24T11:20:30.000Z | 2020-02-21T04:28:40.000Z | import argparse
import os
import shutil
import sys
import coverage
import pytest
from buildtest.defaults import (
BUILDTEST_ROOT,
BUILDTEST_UNITTEST_ROOT,
BUILDTEST_USER_HOME,
VAR_DIR,
console,
)
from buildtest.utils.file import is_dir, resolve_path
def run_unit_tests(pytestopts=None, sourcefiles... | 32.568807 | 165 | 0.684225 | 454 | 3,550 | 5.211454 | 0.365639 | 0.04142 | 0.026627 | 0.031699 | 0.052409 | 0.032967 | 0 | 0 | 0 | 0 | 0 | 0.001818 | 0.225352 | 3,550 | 108 | 166 | 32.87037 | 0.858545 | 0.266197 | 0 | 0.054795 | 0 | 0 | 0.179267 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 1 | 0.013699 | false | 0 | 0.109589 | 0 | 0.123288 | 0.041096 | 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 |
8919eadb500a2ec6192616456774d8da32531229 | 2,909 | py | Python | dashboard/__init__.py | VisionTale/StreamHelper-overlay | f50ea9ddfecf177db10c4ee99eac6880d362c3cc | [
"MIT"
] | null | null | null | dashboard/__init__.py | VisionTale/StreamHelper-overlay | f50ea9ddfecf177db10c4ee99eac6880d362c3cc | [
"MIT"
] | null | null | null | dashboard/__init__.py | VisionTale/StreamHelper-overlay | f50ea9ddfecf177db10c4ee99eac6880d362c3cc | [
"MIT"
] | null | null | null | from os.path import realpath, join, dirname
from flask import render_template, request, flash
from flask_login import login_required
from flask_wtf.csrf import validate_csrf
from wtforms.validators import ValidationError
from webapi.libs.network import is_up
from webapi.libs.text import camel_case
from .. import bp... | 29.989691 | 88 | 0.682709 | 382 | 2,909 | 5.013089 | 0.282723 | 0.031332 | 0.03342 | 0.031332 | 0.093995 | 0.027154 | 0 | 0 | 0 | 0 | 0 | 0.003939 | 0.214507 | 2,909 | 96 | 89 | 30.302083 | 0.834136 | 0.12616 | 0 | 0.098361 | 0 | 0 | 0.118536 | 0.008751 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.262295 | 0 | 0.360656 | 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 |
891b9abd04593024e436067023f0359758fe9dff | 13,412 | py | Python | UserCode/John/MergeBinaries.py | RunzZhang/SBCcode | e75b8e751cec5fb2c28950edef0c82f005caedcb | [
"MIT"
] | 4 | 2018-08-27T18:02:34.000Z | 2020-06-09T21:19:04.000Z | UserCode/John/MergeBinaries.py | RunzZhang/SBCcode | e75b8e751cec5fb2c28950edef0c82f005caedcb | [
"MIT"
] | null | null | null | UserCode/John/MergeBinaries.py | RunzZhang/SBCcode | e75b8e751cec5fb2c28950edef0c82f005caedcb | [
"MIT"
] | 4 | 2019-06-20T21:36:26.000Z | 2020-11-10T17:23:14.000Z | ## John Gresl
import os
from collections import defaultdict, OrderedDict
import time
from copy import deepcopy
import numpy as np
from SBCcode.DataHandling.ReadBinary import ReadBlock as RB
from SBCcode.DataHandling.WriteBinary import WriteBinaryNtupleFile as WB
from SBCcode.AnalysisModules.AnalyzeDytran import dyt... | 49.308824 | 121 | 0.530122 | 1,542 | 13,412 | 4.457198 | 0.191959 | 0.025462 | 0.024007 | 0.034919 | 0.374363 | 0.332315 | 0.315001 | 0.292594 | 0.283282 | 0.262331 | 0 | 0.016357 | 0.329928 | 13,412 | 271 | 122 | 49.490775 | 0.748414 | 0.115419 | 0 | 0.351852 | 0 | 0 | 0.134898 | 0.030746 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013889 | false | 0 | 0.083333 | 0 | 0.111111 | 0.12963 | 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 |
891bdc5511e0a29c4be2339f1dc933bccb992ce1 | 2,066 | py | Python | src/ndc/get_ndc.py | TEI-EAJ/auto_aozora_tei | 5535abef680a1e186f8a7dc6efc30a1dcf4efeec | [
"CC0-1.0"
] | 3 | 2019-02-12T13:28:22.000Z | 2021-07-25T20:58:07.000Z | src/ndc/get_ndc.py | TEI-EAJ/auto_aozora_tei | 5535abef680a1e186f8a7dc6efc30a1dcf4efeec | [
"CC0-1.0"
] | null | null | null | src/ndc/get_ndc.py | TEI-EAJ/auto_aozora_tei | 5535abef680a1e186f8a7dc6efc30a1dcf4efeec | [
"CC0-1.0"
] | 1 | 2019-02-12T22:04:00.000Z | 2019-02-12T22:04:00.000Z | import urllib.request
from bs4 import BeautifulSoup
import json
def extract(index):
url = "http://yozora.main.jp/"
html = urllib.request.urlopen(url)
# htmlをBeautifulSoupで扱う
soup = BeautifulSoup(html, "lxml")
a_list = soup.find_all(class_="navi")[index].find_all("a")
arr = []
for a in ... | 22.703297 | 100 | 0.494676 | 234 | 2,066 | 4.303419 | 0.34188 | 0.051639 | 0.041708 | 0.047666 | 0.047666 | 0.047666 | 0.047666 | 0 | 0 | 0 | 0 | 0.042972 | 0.335431 | 2,066 | 90 | 101 | 22.955556 | 0.690459 | 0.031462 | 0 | 0.098361 | 0 | 0 | 0.120681 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016393 | false | 0 | 0.04918 | 0 | 0.081967 | 0.065574 | 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 |
891be27156d1066f41832049260bb47279ac1736 | 4,116 | py | Python | backend/server/task/views.py | munteanugabriel25/Javascript-Django-TodoList- | e3cb8d4a573dfbb84960839b7a01a24a195c7755 | [
"Unlicense"
] | null | null | null | backend/server/task/views.py | munteanugabriel25/Javascript-Django-TodoList- | e3cb8d4a573dfbb84960839b7a01a24a195c7755 | [
"Unlicense"
] | null | null | null | backend/server/task/views.py | munteanugabriel25/Javascript-Django-TodoList- | e3cb8d4a573dfbb84960839b7a01a24a195c7755 | [
"Unlicense"
] | null | null | null | from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework import status
from .serializers import TaskListCreateSerializer, UserCreateSerializer, UserLoginSerializer, UserSerializer, TaskUpdateSerializer
from rest_framework.response import Response
from .models import Task
from res... | 40.752475 | 130 | 0.688047 | 478 | 4,116 | 5.740586 | 0.198745 | 0.061224 | 0.069971 | 0.045918 | 0.581268 | 0.514942 | 0.505831 | 0.470481 | 0.416545 | 0.388484 | 0 | 0.019743 | 0.224733 | 4,116 | 101 | 131 | 40.752475 | 0.840175 | 0.005588 | 0 | 0.455696 | 0 | 0 | 0.04521 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088608 | false | 0 | 0.151899 | 0 | 0.481013 | 0.012658 | 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 |
64dfbc4c6711f4cdd56dde0eb4ae1be40d05958f | 1,334 | py | Python | capsule.py | lebek/reversible-raytracer | 9b502737da0e0a7cfd664a795b3a38c1809c1774 | [
"MIT"
] | 15 | 2015-04-11T14:40:35.000Z | 2020-06-05T14:17:53.000Z | capsule.py | lebek/RRT | 9b502737da0e0a7cfd664a795b3a38c1809c1774 | [
"MIT"
] | null | null | null | capsule.py | lebek/RRT | 9b502737da0e0a7cfd664a795b3a38c1809c1774 | [
"MIT"
] | 3 | 2016-02-09T18:12:51.000Z | 2018-05-24T13:07:52.000Z | import numpy as np
import theano
import theano.tensor as T
class Capsule():
def __init__(self, name, n_hidden, n_output, num_caps):
self.name = name
bias = np.asarray([0,0, 3 * num_caps,1,1,1], dtype=theano.config.floatX)/ num_caps
self.params = [self.init_capsule_weight(n_hidden),
... | 33.35 | 90 | 0.55997 | 192 | 1,334 | 3.65625 | 0.25 | 0.119658 | 0.128205 | 0.068376 | 0.42735 | 0.42735 | 0.42735 | 0.408832 | 0.403134 | 0.346154 | 0 | 0.054054 | 0.306597 | 1,334 | 39 | 91 | 34.205128 | 0.704865 | 0.1994 | 0 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.136364 | 0 | 0.318182 | 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 |
64e0d083a4907b69b2dd393b09adcf2074033d97 | 60,731 | py | Python | SubExperiment.py | zhangyintai/Experiment_Manager | 800f95068a12b64d4a7e524fe406d5ef3b47f521 | [
"MIT"
] | null | null | null | SubExperiment.py | zhangyintai/Experiment_Manager | 800f95068a12b64d4a7e524fe406d5ef3b47f521 | [
"MIT"
] | null | null | null | SubExperiment.py | zhangyintai/Experiment_Manager | 800f95068a12b64d4a7e524fe406d5ef3b47f521 | [
"MIT"
] | null | null | null | # For controlling experiments for the ion trap lab led by Prof. Yiheng Lin
# The code is written by Yintai Zhang, School of Physical Sciences, USTC
# Last updated: April 29th, 2019
from PyQt5 import QtWidgets, QtCore, QtGui
# import pylint
from Ui_SubExperiment import Ui_SubExperiment_Dialog
import sys
import ... | 41.941298 | 123 | 0.556783 | 6,650 | 60,731 | 4.847669 | 0.041654 | 0.03648 | 0.054285 | 0.037131 | 0.730124 | 0.603127 | 0.573627 | 0.542451 | 0.495704 | 0.433663 | 0 | 0.002493 | 0.332993 | 60,731 | 1,447 | 124 | 41.970283 | 0.793325 | 0.042334 | 0 | 0.462255 | 0 | 0 | 0.040159 | 0.0016 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0.01398 | 0.006524 | 0 | 0.06151 | 0.157502 | 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 |
64e1becee21ec789ab3fba8c1362708a1fcff647 | 1,509 | py | Python | train_DT.py | caspase-like-homolog-identifier/c14_witcher | e2c481607b85fed749daec0e9b3b29b65d6b448f | [
"MIT"
] | null | null | null | train_DT.py | caspase-like-homolog-identifier/c14_witcher | e2c481607b85fed749daec0e9b3b29b65d6b448f | [
"MIT"
] | null | null | null | train_DT.py | caspase-like-homolog-identifier/c14_witcher | e2c481607b85fed749daec0e9b3b29b65d6b448f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import export_graphviz
from IPython.display import Image
from sklearn import metrics
from six import StringIO
import pandas as pd
import pydotplus
import argparse
import pickle
... | 24.33871 | 96 | 0.726972 | 203 | 1,509 | 5.162562 | 0.458128 | 0.034351 | 0.026718 | 0.040076 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0347 | 0.159708 | 1,509 | 61 | 97 | 24.737705 | 0.791798 | 0.027833 | 0 | 0 | 0 | 0 | 0.098698 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.27027 | 0 | 0.27027 | 0.027027 | 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 |
64e2f7bd0c5248b10b722215e23712c6705e3215 | 3,205 | py | Python | data/process_data.py | YvesDeutschmann/disaster-response-pipeline-project | 6ce33642a9bc05ed063c5adfab42fd69c076bd40 | [
"MIT"
] | null | null | null | data/process_data.py | YvesDeutschmann/disaster-response-pipeline-project | 6ce33642a9bc05ed063c5adfab42fd69c076bd40 | [
"MIT"
] | null | null | null | data/process_data.py | YvesDeutschmann/disaster-response-pipeline-project | 6ce33642a9bc05ed063c5adfab42fd69c076bd40 | [
"MIT"
] | null | null | null | import sys
import pandas as pd
import numpy as np
from sqlalchemy import create_engine
def load_data(messages_filepath, categories_filepath):
"""
Loads the data.
Args:
messages_filepath: String - csv file containing disaster messages.
categories_filepath: String - csv file containing ... | 32.05 | 95 | 0.659282 | 391 | 3,205 | 5.294118 | 0.319693 | 0.046377 | 0.062802 | 0.0657 | 0.158454 | 0.128502 | 0.047343 | 0 | 0 | 0 | 0 | 0.00541 | 0.250234 | 3,205 | 100 | 96 | 32.05 | 0.856013 | 0.294228 | 0 | 0.044444 | 0 | 0 | 0.226512 | 0.020465 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0 | 0.088889 | 0 | 0.222222 | 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 |
64e6d9802ff131b02145f06b9894c085a64f01d6 | 795 | py | Python | streamselect/concept_representations/__init__.py | BenHals/streamselect | ca5e80f3a8a31a38ac52bccfd92528d73f387a6a | [
"BSD-3-Clause"
] | null | null | null | streamselect/concept_representations/__init__.py | BenHals/streamselect | ca5e80f3a8a31a38ac52bccfd92528d73f387a6a | [
"BSD-3-Clause"
] | null | null | null | streamselect/concept_representations/__init__.py | BenHals/streamselect | ca5e80f3a8a31a38ac52bccfd92528d73f387a6a | [
"BSD-3-Clause"
] | null | null | null | """ Base classes for concept representations.
A concept is a joint distribution between x and y.
A concept representation is a finite sized approximation of this distribution using a given classifier.
Each concept distribution should have a method of construction from a window of observations and
a similarity method to... | 34.565217 | 103 | 0.798742 | 86 | 795 | 7.290698 | 0.604651 | 0.025518 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153459 | 795 | 22 | 104 | 36.136364 | 0.931649 | 0.50566 | 0 | 0 | 0 | 0 | 0.26943 | 0.173575 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 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 |
64ea22c140e09fcc03e94150afada75a7e282353 | 1,099 | py | Python | src/layers/tsm.py | zhaojieting/e3d_lstm | e77d5523ad3a6f062042c095f1d40a29ee054db4 | [
"Apache-2.0"
] | null | null | null | src/layers/tsm.py | zhaojieting/e3d_lstm | e77d5523ad3a6f062042c095f1d40a29ee054db4 | [
"Apache-2.0"
] | null | null | null | src/layers/tsm.py | zhaojieting/e3d_lstm | e77d5523ad3a6f062042c095f1d40a29ee054db4 | [
"Apache-2.0"
] | null | null | null | """Module for constructing TSN layers Cells."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
import tensorflow.contrib.layers as layers
def TSM_layer(inputs, output_channels, kernel_shape, padding='same'):
... | 42.269231 | 121 | 0.622384 | 142 | 1,099 | 4.521127 | 0.373239 | 0.17134 | 0.074766 | 0.065421 | 0.165109 | 0.105919 | 0.105919 | 0.105919 | 0.105919 | 0.105919 | 0 | 0.016518 | 0.283894 | 1,099 | 26 | 122 | 42.269231 | 0.799238 | 0.037307 | 0 | 0 | 0 | 0 | 0.012346 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.3 | 0 | 0.4 | 0.05 | 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 |
64ecd16af3bba6904bb50e63ae398928437708ec | 1,946 | py | Python | tests/tmp.py | ribeirojose/d6tstack | 4d974cca4dc75ff988269443a6622ca9922127e6 | [
"MIT"
] | 176 | 2018-04-30T15:40:34.000Z | 2022-03-16T09:31:08.000Z | tests/tmp.py | tsering10/d6tstack | 7b6c5851b53bdd221466facfb7aebdc96006bf41 | [
"MIT"
] | 29 | 2018-10-28T15:35:24.000Z | 2022-01-31T03:23:35.000Z | tests/tmp.py | tsering10/d6tstack | 7b6c5851b53bdd221466facfb7aebdc96006bf41 | [
"MIT"
] | 45 | 2018-07-27T04:16:28.000Z | 2022-01-10T18:29:21.000Z | import importlib
import d6tstack.utils
importlib.reload(d6tstack.utils)
import time
import yaml
config = yaml.load(open('tests/.test-cred.yaml'))
cfg_uri_psql = config['rds']
cfg_uri_psql = config['wlo']
import pandas as pd
df = pd.DataFrame({'a':range(10),'b':range(10)})
d6tstack.utils.pd_to_psql(df,cfg_uri_psql,'... | 25.605263 | 81 | 0.751285 | 293 | 1,946 | 4.791809 | 0.215017 | 0.055556 | 0.064103 | 0.059829 | 0.696581 | 0.696581 | 0.630342 | 0.491453 | 0.491453 | 0.443732 | 0 | 0.022396 | 0.08222 | 1,946 | 75 | 82 | 25.946667 | 0.763718 | 0.013875 | 0 | 0.632653 | 0 | 0 | 0.138831 | 0.021921 | 0 | 0 | 0 | 0 | 0.040816 | 1 | 0 | false | 0 | 0.265306 | 0 | 0.265306 | 0.122449 | 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 |
64eea514dc744490d62df2dbfa0ff759f1bd366a | 13,313 | py | Python | pi_weather.py | mitgobla/Pi-Weather | aa5a8a4a543d721ba9c7ebe3a69444512133d4cc | [
"MIT"
] | 1 | 2021-08-22T20:56:37.000Z | 2021-08-22T20:56:37.000Z | pi_weather.py | mitgobla/Pi-Weather | aa5a8a4a543d721ba9c7ebe3a69444512133d4cc | [
"MIT"
] | null | null | null | pi_weather.py | mitgobla/Pi-Weather | aa5a8a4a543d721ba9c7ebe3a69444512133d4cc | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import os
from sys import argv
from time import sleep
from papirus import PapirusComposite
from weather import Weather
DIRECTORY = os.path.dirname(os.path.realpath(__file__))
class PiWeather:
def __init__(self):
self.config = self.load_config()... | 40.588415 | 113 | 0.534966 | 1,380 | 13,313 | 5.096377 | 0.188406 | 0.092279 | 0.068676 | 0.054031 | 0.349637 | 0.309683 | 0.274563 | 0.247263 | 0.235888 | 0.207308 | 0 | 0.027526 | 0.320514 | 13,313 | 327 | 114 | 40.712538 | 0.749834 | 0.082401 | 0 | 0.264317 | 0 | 0 | 0.154065 | 0.008531 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052863 | false | 0.026432 | 0.026432 | 0 | 0.14978 | 0.004405 | 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 |
64eedb6c77b1e955f83b08c16eb463ea0891406d | 961 | py | Python | crystallography/cube_symmetry.py | rpw199912j/matsci_animation | cd613853a40cdee73f9cdff7bdf23a02451bb1ef | [
"MIT"
] | null | null | null | crystallography/cube_symmetry.py | rpw199912j/matsci_animation | cd613853a40cdee73f9cdff7bdf23a02451bb1ef | [
"MIT"
] | null | null | null | crystallography/cube_symmetry.py | rpw199912j/matsci_animation | cd613853a40cdee73f9cdff7bdf23a02451bb1ef | [
"MIT"
] | null | null | null | from manim import *
class CubeSymmetry(ThreeDScene):
def construct(self):
# define a 3D axes
axes_3d = ThreeDAxes(
tips=False
)
# define a cube with side length 2 placed at the origin
cube = Cube(stroke_color=YELLOW, stroke_width=3)
# define a line that... | 23.439024 | 90 | 0.495317 | 115 | 961 | 4.078261 | 0.556522 | 0.025586 | 0.051173 | 0.057569 | 0.063966 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046233 | 0.3923 | 961 | 40 | 91 | 24.025 | 0.756849 | 0.119667 | 0 | 0.275862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.034483 | 0 | 0.103448 | 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 |
64f18694f99e323c1c04d6f1bc14cbfb5fcf7280 | 3,226 | py | Python | src/python/services/rpc_services/rpc_requests.py | rockmind/LoveAndMarriage | 2877d6af626eff2a3134a05ab7f03c52f14fde5c | [
"Apache-2.0"
] | null | null | null | src/python/services/rpc_services/rpc_requests.py | rockmind/LoveAndMarriage | 2877d6af626eff2a3134a05ab7f03c52f14fde5c | [
"Apache-2.0"
] | 1 | 2021-12-18T16:07:39.000Z | 2021-12-18T16:07:39.000Z | src/python/services/rpc_services/rpc_requests.py | rockmind/LoveAndMarriage | 2877d6af626eff2a3134a05ab7f03c52f14fde5c | [
"Apache-2.0"
] | null | null | null | from asyncio import sleep, get_event_loop
from aiohttp import ClientSession
from typing import OrderedDict, Union, List
from numpy.random import randint
from oauthlib.oauth2 import LegacyApplicationClient
from requests_oauthlib import OAuth2Session
from services import json_dumps, json_loads
class RequestRpc:
RE... | 33.604167 | 115 | 0.567886 | 348 | 3,226 | 5.091954 | 0.316092 | 0.054176 | 0.045147 | 0.035553 | 0.095372 | 0.060948 | 0.038375 | 0 | 0 | 0 | 0 | 0.020075 | 0.33602 | 3,226 | 95 | 116 | 33.957895 | 0.80719 | 0.00186 | 0 | 0.2 | 0 | 0 | 0.07023 | 0.017402 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0.05 | 0.0875 | 0 | 0.175 | 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 |
64f449e7051ecea8b2412b9c5d7d5fca434151bc | 13,150 | py | Python | pyrallis/wrappers/field_wrapper.py | eladrich/pyrallis | 1e0586f9de9ed5d8d67d061dac1fb44c73f9d4a4 | [
"MIT"
] | 22 | 2021-12-30T16:06:09.000Z | 2022-03-09T23:27:30.000Z | pyrallis/wrappers/field_wrapper.py | eladrich/pyrallis | 1e0586f9de9ed5d8d67d061dac1fb44c73f9d4a4 | [
"MIT"
] | 5 | 2022-01-18T14:05:52.000Z | 2022-03-03T17:23:03.000Z | pyrallis/wrappers/field_wrapper.py | eladrich/pyrallis | 1e0586f9de9ed5d8d67d061dac1fb44c73f9d4a4 | [
"MIT"
] | null | null | null | import argparse
import dataclasses
import inspect
from logging import getLogger
from typing import Any, Optional, List, Type, Dict, Set, Union, Tuple
from . import docstring
from .wrapper import Wrapper
from .. import utils
logger = getLogger(__name__)
class FieldWrapper(Wrapper[dataclasses.Field]):
"""
The... | 35.831063 | 89 | 0.63924 | 1,620 | 13,150 | 5.048765 | 0.201852 | 0.031789 | 0.012226 | 0.011615 | 0.125076 | 0.037657 | 0.008559 | 0.008559 | 0 | 0 | 0 | 0.001668 | 0.270646 | 13,150 | 366 | 90 | 35.928962 | 0.85111 | 0.363422 | 0 | 0.215 | 0 | 0 | 0.069293 | 0.006207 | 0 | 0 | 0 | 0.008197 | 0 | 1 | 0.135 | false | 0.005 | 0.04 | 0.055 | 0.335 | 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 |
64f496f7a964f4a0c2008a4e6ef5318ca9d938ee | 7,183 | py | Python | up/settings/base.py | rodlukas/UP-admin | 08f36de0773f39c6222da82016bf1384af2cce18 | [
"MIT"
] | 4 | 2019-07-19T17:39:04.000Z | 2022-03-22T21:02:15.000Z | up/settings/base.py | rodlukas/UP-admin | 08f36de0773f39c6222da82016bf1384af2cce18 | [
"MIT"
] | 53 | 2019-08-04T14:25:40.000Z | 2022-03-26T20:30:55.000Z | up/settings/base.py | rodlukas/UP-admin | 08f36de0773f39c6222da82016bf1384af2cce18 | [
"MIT"
] | 3 | 2020-03-09T07:11:03.000Z | 2020-09-11T01:22:50.000Z | """
Základní konfigurace Django projektu.
Je základem pro konfigurace v souborech local.py a production.py.
"""
import os
import sys
from datetime import timedelta
import environ
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.... | 35.384236 | 118 | 0.738828 | 873 | 7,183 | 5.853379 | 0.399771 | 0.035616 | 0.023288 | 0.010959 | 0.091194 | 0.059491 | 0.01683 | 0.008806 | 0 | 0 | 0 | 0.0044 | 0.145761 | 7,183 | 202 | 119 | 35.559406 | 0.82839 | 0.244466 | 0 | 0.027027 | 0 | 0 | 0.418496 | 0.301824 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.033784 | 0.027027 | 0 | 0.027027 | 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 |
64f625ff3b06630f6e5652636658877b09051eea | 10,470 | py | Python | acme/agents/jax/ail/learning.py | wookayin/acme | 71b2ab8577a118c103718f034fa62c5ad2c0fd97 | [
"Apache-2.0"
] | null | null | null | acme/agents/jax/ail/learning.py | wookayin/acme | 71b2ab8577a118c103718f034fa62c5ad2c0fd97 | [
"Apache-2.0"
] | null | null | null | acme/agents/jax/ail/learning.py | wookayin/acme | 71b2ab8577a118c103718f034fa62c5ad2c0fd97 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 DeepMind Technologies Limited. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 35.612245 | 80 | 0.720153 | 1,279 | 10,470 | 5.671618 | 0.228303 | 0.019851 | 0.020678 | 0.015715 | 0.14654 | 0.084367 | 0.032534 | 0.032534 | 0 | 0 | 0 | 0.001811 | 0.209074 | 10,470 | 293 | 81 | 35.733788 | 0.87417 | 0.288252 | 0 | 0.02439 | 0 | 0 | 0.019535 | 0.008254 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054878 | false | 0 | 0.097561 | 0.012195 | 0.280488 | 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 |
64f62b0e9a31a02193441b2301ca86a8c2d36616 | 9,878 | py | Python | json_database/utils/__init__.py | NeonJarbas/json_database | 026d01faff79f178ab8e5a8505666959279761cb | [
"MIT"
] | 8 | 2020-05-30T12:44:35.000Z | 2022-02-14T15:12:53.000Z | json_database/utils/__init__.py | NeonJarbas/json_database | 026d01faff79f178ab8e5a8505666959279761cb | [
"MIT"
] | 4 | 2021-08-18T23:40:45.000Z | 2021-09-30T00:43:42.000Z | json_database/utils/__init__.py | NeonJarbas/json_database | 026d01faff79f178ab8e5a8505666959279761cb | [
"MIT"
] | 7 | 2020-05-30T12:44:41.000Z | 2021-09-30T00:27:04.000Z | import json
from difflib import SequenceMatcher
def fuzzy_match(x, against):
"""Perform a 'fuzzy' comparison between two strings.
Returns:
float: match percentage -- 1.0 for perfect match,
down to 0.0 for no match at all.
"""
return SequenceMatcher(None, x, against).ratio()
de... | 32.071429 | 103 | 0.57542 | 1,161 | 9,878 | 4.745047 | 0.179156 | 0.049918 | 0.027773 | 0.020875 | 0.476493 | 0.414413 | 0.387185 | 0.387185 | 0.383917 | 0.373026 | 0 | 0.003096 | 0.346021 | 9,878 | 307 | 104 | 32.175896 | 0.84969 | 0.215934 | 0 | 0.519126 | 0 | 0 | 0.016651 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060109 | false | 0.016393 | 0.010929 | 0 | 0.153005 | 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 |
8f02541a7ae70196b397d818b7763843b81bed3a | 6,213 | py | Python | pong_v2b.py | jasonj2333/Pico-Pong-2021 | dabd57a9b6a44723a1d690a614265e1a6d5d9b1f | [
"MIT"
] | null | null | null | pong_v2b.py | jasonj2333/Pico-Pong-2021 | dabd57a9b6a44723a1d690a614265e1a6d5d9b1f | [
"MIT"
] | null | null | null | pong_v2b.py | jasonj2333/Pico-Pong-2021 | dabd57a9b6a44723a1d690a614265e1a6d5d9b1f | [
"MIT"
] | 1 | 2021-03-11T08:34:21.000Z | 2021-03-11T08:34:21.000Z | #####################################################
####### Pico Pong 2021 by Jerzy Jasonek ########
####### version 2.0 ########
####### add training mode - 1 player mode ########
#####################################################
from machine import Pin, I2C, ADC
from ssd1306 im... | 30.014493 | 104 | 0.541445 | 839 | 6,213 | 3.882002 | 0.191895 | 0.035002 | 0.049739 | 0.062634 | 0.30089 | 0.254222 | 0.233344 | 0.214922 | 0.19343 | 0.133866 | 0 | 0.072368 | 0.266055 | 6,213 | 206 | 105 | 30.160194 | 0.641886 | 0.110736 | 0 | 0.355705 | 0 | 0.006711 | 0.030113 | 0.016168 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033557 | false | 0 | 0.033557 | 0.006711 | 0.107383 | 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 |
8f0774dc003329dbb4aee294ed1abf6b04d27049 | 14,904 | py | Python | gh/views.py | Gepetto/dashboard | a24bbcec7c13c00b2a783c840658130083ad3b30 | [
"BSD-2-Clause"
] | null | null | null | gh/views.py | Gepetto/dashboard | a24bbcec7c13c00b2a783c840658130083ad3b30 | [
"BSD-2-Clause"
] | 7 | 2018-02-21T18:03:36.000Z | 2021-04-29T15:17:59.000Z | gh/views.py | Gepetto/dashboard | a24bbcec7c13c00b2a783c840658130083ad3b30 | [
"BSD-2-Clause"
] | 1 | 2018-07-10T15:19:31.000Z | 2018-07-10T15:19:31.000Z | """Views for dashboard_apps."""
import hmac
import logging
import re
import traceback
from hashlib import sha1
from ipaddress import ip_address, ip_network
from json import loads
from asgiref.sync import sync_to_async, async_to_sync
from django.conf import settings
from django.core.mail import mail_admins
from django.... | 45.577982 | 119 | 0.650631 | 1,900 | 14,904 | 4.933684 | 0.164737 | 0.026243 | 0.048112 | 0.06486 | 0.449755 | 0.387881 | 0.332836 | 0.279923 | 0.243759 | 0.213783 | 0 | 0.009806 | 0.240472 | 14,904 | 326 | 120 | 45.717791 | 0.818286 | 0.078502 | 0 | 0.349794 | 0 | 0.020576 | 0.18201 | 0.041201 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.09465 | 0 | 0.205761 | 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 |
8f0ac5d355c9a9038a09d1d81879dac676f628c0 | 2,844 | py | Python | plugins/serializables/global_packets.py | wesleyd1124/WLUS | ce319962d57d91dc9c8b06cc435469c7b24da826 | [
"MIT"
] | 25 | 2018-06-05T22:45:03.000Z | 2021-09-01T08:15:38.000Z | plugins/serializables/global_packets.py | wesleyd1124/WLUS | ce319962d57d91dc9c8b06cc435469c7b24da826 | [
"MIT"
] | 15 | 2018-07-10T10:39:55.000Z | 2021-07-01T20:56:26.000Z | plugins/serializables/global_packets.py | wesleyd1124/WLUS | ce319962d57d91dc9c8b06cc435469c7b24da826 | [
"MIT"
] | 13 | 2018-05-19T19:44:59.000Z | 2021-07-18T18:45:58.000Z | """
Contains all the packets which are sent by either the client or server
"""
from pyraknet import bitstream
class HandshakePacket(bitstream.Serializable):
"""
[53-00-00-00]
Global handshake packet serializable.
This packet is sent to establish a connection.
"""
def __init__(self):
se... | 35.55 | 81 | 0.697961 | 347 | 2,844 | 5.538905 | 0.262248 | 0.072841 | 0.099896 | 0.076483 | 0.468783 | 0.407908 | 0.291883 | 0.291883 | 0.25026 | 0.25026 | 0 | 0.041998 | 0.204641 | 2,844 | 79 | 82 | 36 | 0.807692 | 0.123769 | 0 | 0.3 | 0 | 0 | 0.015683 | 0.011969 | 0 | 0 | 0.001651 | 0 | 0 | 1 | 0.2 | false | 0 | 0.02 | 0 | 0.34 | 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 |
8f0b154543475c7fee417eb340ebc23a9a65e18b | 1,278 | py | Python | tests/test_rasterize.py | PADAS/django-raster | 68b2d181c70827dffad3c07f4f38d3490872a3eb | [
"BSD-3-Clause"
] | null | null | null | tests/test_rasterize.py | PADAS/django-raster | 68b2d181c70827dffad3c07f4f38d3490872a3eb | [
"BSD-3-Clause"
] | null | null | null | tests/test_rasterize.py | PADAS/django-raster | 68b2d181c70827dffad3c07f4f38d3490872a3eb | [
"BSD-3-Clause"
] | null | null | null | from django.contrib.gis.gdal import GDALRaster, OGRGeometry
from django.test import TestCase
from raster.rasterize import rasterize
class RasterizeGeometryTests(TestCase):
def setUp(self):
self.rast = GDALRaster({
'datatype': 1,
'driver': 'MEM',
'width': 2,
... | 32.769231 | 79 | 0.571205 | 145 | 1,278 | 4.951724 | 0.406897 | 0.066852 | 0.116992 | 0.08078 | 0.370474 | 0.370474 | 0.370474 | 0.370474 | 0.225627 | 0.225627 | 0 | 0.084615 | 0.28795 | 1,278 | 38 | 80 | 33.631579 | 0.704396 | 0 | 0 | 0.125 | 0 | 0 | 0.061815 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.09375 | false | 0 | 0.09375 | 0 | 0.21875 | 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 |
8f0ecc69fcbb900b73340911f3b2c0dbdb93c8a1 | 6,577 | py | Python | otcs.py | neckro/mr-otcs | 5782f3664afb7213729e207881ae855fb60e43a0 | [
"MIT"
] | null | null | null | otcs.py | neckro/mr-otcs | 5782f3664afb7213729e207881ae855fb60e43a0 | [
"MIT"
] | null | null | null | otcs.py | neckro/mr-otcs | 5782f3664afb7213729e207881ae855fb60e43a0 | [
"MIT"
] | null | null | null | import datetime
import errno
import itertools
import os
import subprocess
import sys
###############################################################################
# Configuration.
# Program paths. Use absolute paths.
MEDIA_PLAYER_PATH = "/usr/bin/vlc"
FFPROBE_PATH = "/usr/bin/ffprobe"
# Base path for all video fil... | 39.383234 | 103 | 0.636764 | 854 | 6,577 | 4.728337 | 0.289227 | 0.040119 | 0.022288 | 0.027737 | 0.145864 | 0.09262 | 0.077761 | 0.077761 | 0.077761 | 0.077266 | 0 | 0.006401 | 0.239927 | 6,577 | 166 | 104 | 39.620482 | 0.80136 | 0.35168 | 0 | 0.121622 | 0 | 0 | 0.092335 | 0.014166 | 0.013514 | 0 | 0 | 0.006024 | 0 | 1 | 0.027027 | false | 0 | 0.081081 | 0 | 0.121622 | 0.027027 | 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 |
8f0f210fb96be3418eb569e273c87bbeadbc980a | 4,674 | py | Python | src/lambda_functions/lex_v2_cfn_cr/lex_v2_cfn_cr/slot.py | mohsenari/aws-lex-v2-cfn-cr | 619b223d5b6fb4561ca3adb4c278ad03cc978cf0 | [
"Apache-2.0"
] | 11 | 2021-06-24T23:23:16.000Z | 2021-09-07T16:38:01.000Z | src/lambda_functions/lex_v2_cfn_cr/lex_v2_cfn_cr/slot.py | mohsenari/aws-lex-v2-cfn-cr | 619b223d5b6fb4561ca3adb4c278ad03cc978cf0 | [
"Apache-2.0"
] | 3 | 2021-09-23T00:07:36.000Z | 2021-11-24T00:29:33.000Z | src/lambda_functions/lex_v2_cfn_cr/lex_v2_cfn_cr/slot.py | mohsenari/aws-lex-v2-cfn-cr | 619b223d5b6fb4561ca3adb4c278ad03cc978cf0 | [
"Apache-2.0"
] | 4 | 2021-07-11T02:46:36.000Z | 2022-01-13T22:47:39.000Z | #!/usr/bin/env python3.8
################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# #
# Licensed under the Apache License, Version 2.0 (t... | 34.367647 | 89 | 0.537441 | 431 | 4,674 | 5.614849 | 0.345708 | 0.03719 | 0.026446 | 0.028512 | 0.267769 | 0.247934 | 0.247934 | 0.207025 | 0.207025 | 0.157438 | 0 | 0.005921 | 0.349594 | 4,674 | 135 | 90 | 34.622222 | 0.790132 | 0.232135 | 0 | 0.27957 | 0 | 0 | 0.04994 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053763 | false | 0 | 0.064516 | 0 | 0.16129 | 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 |
8f170c370bacf2243ee7c2b4a5545bf2f5612009 | 7,102 | py | Python | okcupyd_testing/util.py | sphericalcow/okcupyd | ae0a99d248c515eea9a6d21a9c89f51e299b33f5 | [
"MIT"
] | 89 | 2015-01-09T19:58:07.000Z | 2022-03-03T21:56:50.000Z | okcupyd_testing/util.py | sphericalcow/okcupyd | ae0a99d248c515eea9a6d21a9c89f51e299b33f5 | [
"MIT"
] | 51 | 2015-01-18T23:09:35.000Z | 2017-04-24T03:16:03.000Z | okcupyd_testing/util.py | sphericalcow/okcupyd | ae0a99d248c515eea9a6d21a9c89f51e299b33f5 | [
"MIT"
] | 24 | 2015-01-16T17:43:21.000Z | 2020-09-18T12:19:15.000Z | import copy
import inspect
import logging
import os
import zlib
from six.moves import urllib
import simplejson
import vcr
import wrapt
from okcupyd import settings
from okcupyd import util
log = logging.getLogger(__name__)
TESTING_USERNAME = 'username'
TESTING_PASSWORD = 'password'
WBITS = 16 + zlib.MAX_WBITS
SH... | 31.286344 | 107 | 0.656998 | 870 | 7,102 | 5.106897 | 0.222989 | 0.020257 | 0.025208 | 0.018006 | 0.141796 | 0.111411 | 0.087779 | 0.064821 | 0.049516 | 0.018006 | 0 | 0.002248 | 0.248381 | 7,102 | 226 | 108 | 31.424779 | 0.830086 | 0.015207 | 0 | 0.177143 | 0 | 0 | 0.063949 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0.028571 | 0.062857 | 0.005714 | 0.285714 | 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 |
8f1d431916ff72728e735e8e734dd11974fd8bb1 | 1,474 | py | Python | utils/checkpoint.py | Jackson-Kang/VQVC-Pytorch | d2267b5c52253b6ae11a5767963a65320ae335c2 | [
"MIT"
] | 13 | 2021-02-11T17:48:40.000Z | 2022-02-08T06:37:12.000Z | utils/checkpoint.py | Jackson-Kang/VQVC-Pytorch | d2267b5c52253b6ae11a5767963a65320ae335c2 | [
"MIT"
] | 1 | 2022-01-17T17:07:22.000Z | 2022-01-18T06:51:21.000Z | utils/checkpoint.py | Jackson-Kang/VQVC-Pytorch | d2267b5c52253b6ae11a5767963a65320ae335c2 | [
"MIT"
] | 3 | 2021-03-10T08:40:00.000Z | 2022-01-17T17:08:48.000Z | import torch
import os, glob
from .path import create_dir, get_path
def load_checkpoint(checkpoint_path, model, optimizer=None, scheduler=None):
if optimizer is not None:
if not(os.path.exists(checkpoint_path)):
print("[WARNING] No checkpoint exists. Start from scratch.")
global_step = 0
else:
print(... | 30.708333 | 111 | 0.729308 | 205 | 1,474 | 4.990244 | 0.263415 | 0.123167 | 0.063539 | 0.070381 | 0.29521 | 0.234604 | 0.234604 | 0.234604 | 0.234604 | 0.234604 | 0 | 0.009252 | 0.120081 | 1,474 | 47 | 112 | 31.361702 | 0.779491 | 0 | 0 | 0.294118 | 0 | 0 | 0.175832 | 0.014257 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.088235 | 0 | 0.176471 | 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 |
8f21a46afa8fc39f3ecf728165185537c6f76296 | 1,712 | py | Python | lib/tsetmc_api/core/symbol.py | mahs4d/tsetmc-api | 4d7252b9e9aeda870e0340d7641aa244427a4ab1 | [
"MIT"
] | 18 | 2020-06-01T06:12:41.000Z | 2021-05-08T07:57:47.000Z | lib/tsetmc_api/core/symbol.py | mahs4d/tsetmc-api | 4d7252b9e9aeda870e0340d7641aa244427a4ab1 | [
"MIT"
] | 3 | 2020-08-07T11:25:53.000Z | 2021-04-09T12:37:00.000Z | lib/tsetmc_api/core/symbol.py | mahs4d/tsetmc-api | 4d7252b9e9aeda870e0340d7641aa244427a4ab1 | [
"MIT"
] | 6 | 2021-04-09T12:37:40.000Z | 2021-11-08T20:50:16.000Z | from datetime import date
import requests
from bs4 import BeautifulSoup
def get_symbol_details(symbol_id):
raw = requests.get(f'http://www.tsetmc.com/Loader.aspx?Partree=15131M&i={symbol_id}', timeout=20, verify=False).text
ret = {}
trs = BeautifulSoup(raw, 'lxml').find_all('tr')
for tr in trs:
... | 30.035088 | 120 | 0.586449 | 234 | 1,712 | 4.076923 | 0.350427 | 0.092243 | 0.081761 | 0.033543 | 0.050314 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032385 | 0.260514 | 1,712 | 56 | 121 | 30.571429 | 0.721169 | 0 | 0 | 0 | 0 | 0.022727 | 0.142523 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.068182 | 0 | 0.159091 | 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 |
8f231583cf8cbaed36b765c3c82ea90dabd12d76 | 975 | py | Python | shamester_api/handlers/new_website_handler.py | heynemann/shamester | b098c922be941037410d3c7b3214a9aecde67495 | [
"MIT"
] | 1 | 2015-01-25T13:13:23.000Z | 2015-01-25T13:13:23.000Z | shamester_api/handlers/new_website_handler.py | heynemann/shamester | b098c922be941037410d3c7b3214a9aecde67495 | [
"MIT"
] | null | null | null | shamester_api/handlers/new_website_handler.py | heynemann/shamester | b098c922be941037410d3c7b3214a9aecde67495 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
from tornado.web import RequestHandler, asynchronous
import tornado.gen
import motor
from ujson import loads, dumps
from shamester_api.models import Website
class NewWebsiteHandler(RequestHandler):
@property
def websites(self):
return self.application.mongo.... | 23.780488 | 72 | 0.61641 | 107 | 975 | 5.551402 | 0.53271 | 0.055556 | 0.047138 | 0.070707 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001403 | 0.268718 | 975 | 40 | 73 | 24.375 | 0.831697 | 0.038974 | 0 | 0.148148 | 0 | 0 | 0.06631 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.185185 | 0.037037 | 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 |
8f246adac761633444e7917b2e83510f4f23aa8d | 8,368 | py | Python | TM271A-ctrl.py | wb4bxo/TM-271A-ctrl | 45f9f931553b08f4bc1b30360c2c946b07b54074 | [
"Unlicense"
] | null | null | null | TM271A-ctrl.py | wb4bxo/TM-271A-ctrl | 45f9f931553b08f4bc1b30360c2c946b07b54074 | [
"Unlicense"
] | null | null | null | TM271A-ctrl.py | wb4bxo/TM-271A-ctrl | 45f9f931553b08f4bc1b30360c2c946b07b54074 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import sys
import os
import time
import serial
# This is a quick and dirty control program for the Kenwood TM-271A and TM-281A
# transceiver to allow remote base like operations for use with Allstar or
# other digital modes. It is primarily targeted at the Raspberry Pi but being
# in Python allo... | 30.652015 | 112 | 0.58162 | 1,296 | 8,368 | 3.752315 | 0.320988 | 0.028789 | 0.031256 | 0.024059 | 0.229899 | 0.206046 | 0.196381 | 0.192474 | 0.177257 | 0.172733 | 0 | 0.097666 | 0.278083 | 8,368 | 272 | 113 | 30.764706 | 0.707333 | 0.275215 | 0 | 0.214286 | 0 | 0 | 0.31249 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0.008929 | 0.017857 | 0 | 0.080357 | 0.040179 | 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 |
8f247daa65827948d6dd176860fe6b66dc1abfcd | 2,347 | py | Python | snake/games/snake_gen.py | TeamSerpentine/retro-baselines | 9b2c725604496aca9c382a53f456d31fdbcaa5b1 | [
"BSD-3-Clause"
] | 2 | 2019-12-09T08:41:13.000Z | 2020-10-22T02:29:22.000Z | snake/games/snake_gen.py | TeamSerpentine/retro-baselines | 9b2c725604496aca9c382a53f456d31fdbcaa5b1 | [
"BSD-3-Clause"
] | null | null | null | snake/games/snake_gen.py | TeamSerpentine/retro-baselines | 9b2c725604496aca9c382a53f456d31fdbcaa5b1 | [
"BSD-3-Clause"
] | null | null | null |
import itertools
import numpy as np
from snake.objects.utils import Point
from snake.games.base_game import SnakeGame
from snake.boards.classic import Board
from snake.displays.single_image import SingleImage
class Snake(SnakeGame):
"""
Classic snake game, which outputs a numpy ndarray of size (24,)
... | 39.116667 | 93 | 0.607158 | 306 | 2,347 | 4.5 | 0.349673 | 0.039216 | 0.020334 | 0.030501 | 0.039216 | 0.039216 | 0 | 0 | 0 | 0 | 0 | 0.011926 | 0.285471 | 2,347 | 59 | 94 | 39.779661 | 0.809183 | 0.157648 | 0 | 0.051282 | 0 | 0 | 0.011721 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | false | 0 | 0.153846 | 0 | 0.358974 | 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 |
8f272df30ff4e1643b5772b92ea4e650ad48af7e | 473 | py | Python | hw5/close_p_q.py | rocke97/crypto | 89c4e595adf74558e12ceb1762025fd2f0275fec | [
"MIT"
] | null | null | null | hw5/close_p_q.py | rocke97/crypto | 89c4e595adf74558e12ceb1762025fd2f0275fec | [
"MIT"
] | null | null | null | hw5/close_p_q.py | rocke97/crypto | 89c4e595adf74558e12ceb1762025fd2f0275fec | [
"MIT"
] | null | null | null | import math
def find_s_and_t(n):
s = 0
t = 0
for possible_t in range(math.ceil(math.sqrt(n)), n):
if math.sqrt((pow(possible_t, 2) - n)) == math.ceil(math.sqrt((pow(possible_t, 2) - n))):
t = possible_t
s_squared = pow(t, 2) - n
s = math.floor(math.sqrt(s_squared... | 24.894737 | 97 | 0.547569 | 81 | 473 | 3.049383 | 0.333333 | 0.145749 | 0.036437 | 0.072874 | 0.178138 | 0.178138 | 0.178138 | 0 | 0 | 0 | 0 | 0.061584 | 0.27907 | 473 | 19 | 98 | 24.894737 | 0.662757 | 0 | 0 | 0 | 0 | 0 | 0.016878 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.2 | 0.133333 | 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 |
8f2a2ed8a1f8b461a2fc0955e0ccc67710df3bfc | 1,051 | py | Python | Week_4/xcoverage.py | actaylor05/learning_python | d8c72fdb7c07bac4176a4418f83d75013db2245a | [
"MIT"
] | null | null | null | Week_4/xcoverage.py | actaylor05/learning_python | d8c72fdb7c07bac4176a4418f83d75013db2245a | [
"MIT"
] | null | null | null | Week_4/xcoverage.py | actaylor05/learning_python | d8c72fdb7c07bac4176a4418f83d75013db2245a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Write a program that simulates random BAC coverage over a genome
# Command line arguments include
# Genome size (e.g. 1000)
# X coverage (e.g. 5)
# Use assert() to check parameter bounds
# Report min, max, and histogram of coverage
# Note that your output may vary due to random function
imp... | 16.169231 | 66 | 0.647954 | 199 | 1,051 | 3.422111 | 0.452261 | 0.052863 | 0.017621 | 0.032305 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097735 | 0.201713 | 1,051 | 64 | 67 | 16.421875 | 0.713945 | 0.317793 | 0 | 0 | 0 | 0 | 0.111693 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 0.269231 | 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 |
8f2afa44239c14e6b1bb586457468cf46963a9c2 | 3,352 | py | Python | python/desc/sims_ci_pipe/psf_mag_check.py | jchiang87/sims_ci_pipe | db8f5ba03880c8def4242fc80ab4cfe6e225e72f | [
"BSD-3-Clause"
] | 3 | 2019-12-04T02:47:34.000Z | 2021-07-04T16:25:34.000Z | python/desc/sims_ci_pipe/psf_mag_check.py | jchiang87/sims_ci_pipe | db8f5ba03880c8def4242fc80ab4cfe6e225e72f | [
"BSD-3-Clause"
] | 5 | 2019-12-10T15:54:49.000Z | 2020-07-19T02:25:39.000Z | python/desc/sims_ci_pipe/psf_mag_check.py | jchiang87/sims_ci_pipe | db8f5ba03880c8def4242fc80ab4cfe6e225e72f | [
"BSD-3-Clause"
] | 1 | 2020-07-15T15:41:34.000Z | 2020-07-15T15:41:34.000Z | """
Compute visit-level distributions of psf_mag - calib_mag to check
for biases in photometry.
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import lsst.daf.persistence as dp
from .ellipticity_distributions import get_point_sources
__all__ = ['get_psf_calib_mags', 'psf_mag_check']
def ... | 34.204082 | 79 | 0.656026 | 452 | 3,352 | 4.641593 | 0.294248 | 0.045758 | 0.017159 | 0.020019 | 0.283603 | 0.283603 | 0.224976 | 0.193518 | 0.163966 | 0.163966 | 0 | 0.018133 | 0.22673 | 3,352 | 97 | 80 | 34.556701 | 0.791281 | 0.28401 | 0 | 0 | 0 | 0 | 0.119363 | 0.042882 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.098039 | 0 | 0.196078 | 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 |
8f332ee1aa858c59191df24f355feb7d4151e658 | 3,052 | py | Python | Baseline/NABA/obs_naba.py | sarthak-chakraborty/PARIMA | c6ceb6e17fc3c934603fa843febc42a8b6ee5bb1 | [
"MIT"
] | 13 | 2021-03-06T16:53:33.000Z | 2022-02-04T20:28:13.000Z | Baseline/NABA/obs_naba.py | sarthak-chakraborty/Adaptive-360-video | c6ceb6e17fc3c934603fa843febc42a8b6ee5bb1 | [
"MIT"
] | 6 | 2021-06-02T08:08:09.000Z | 2022-03-12T00:58:26.000Z | Baseline/NABA/obs_naba.py | sarthak-chakraborty/Adaptive-360-video | c6ceb6e17fc3c934603fa843febc42a8b6ee5bb1 | [
"MIT"
] | 3 | 2021-05-26T03:32:04.000Z | 2021-07-17T14:34:20.000Z | import numpy as np
import math
import pickle
from naba import get_data, tiling, alloc_bitrate, calc_qoe
import argparse
import json
def main():
parser = argparse.ArgumentParser(description='Run NABA algorithm and calculate Average QoE of a video for all users')
parser.add_argument('-D', '--dataset', type=int, re... | 35.488372 | 167 | 0.713303 | 452 | 3,052 | 4.652655 | 0.311947 | 0.047076 | 0.039943 | 0.07418 | 0.1864 | 0.119829 | 0 | 0 | 0 | 0 | 0 | 0.01402 | 0.135321 | 3,052 | 85 | 168 | 35.905882 | 0.782872 | 0.047182 | 0 | 0 | 0 | 0.016393 | 0.260076 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016393 | false | 0 | 0.098361 | 0 | 0.114754 | 0.163934 | 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 |
8f397a404c6c6b7845cf8d3cc2ad927c19c0bc7f | 1,568 | py | Python | tests/time_delay_layers_test.py | veqtor/veqtor_keras | 303f81b7c6aaa7962b288541275fe7ea618804b9 | [
"MIT"
] | 1 | 2020-08-07T14:47:16.000Z | 2020-08-07T14:47:16.000Z | tests/time_delay_layers_test.py | veqtor/veqtor_keras | 303f81b7c6aaa7962b288541275fe7ea618804b9 | [
"MIT"
] | null | null | null | tests/time_delay_layers_test.py | veqtor/veqtor_keras | 303f81b7c6aaa7962b288541275fe7ea618804b9 | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow.keras.utils import custom_object_scope
from tensorflow.python.keras.testing_utils import layer_test
from veqtor_keras.layers.time_delay_layers import TimeDelayLayer1D, DepthGroupwiseTimeDelayLayer1D, \
DepthGroupwiseTimeDelayLayerFake2D, TimeDelayLayerFake2D
class TimeDela... | 38.243902 | 109 | 0.720026 | 147 | 1,568 | 7.421769 | 0.319728 | 0.054995 | 0.07791 | 0.062328 | 0.284143 | 0.284143 | 0.240147 | 0.190651 | 0.190651 | 0.190651 | 0 | 0.035377 | 0.188776 | 1,568 | 40 | 110 | 39.2 | 0.822327 | 0 | 0 | 0.275862 | 0 | 0 | 0.098214 | 0.040816 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0 | 0.137931 | 0 | 0.413793 | 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 |
8f3f574c981c25a097dafd8bdfc599460d07e952 | 660 | py | Python | PyTester/data/Root.py | Sildra/PyTester | ebe16dc4dc169416ee839adc03e42806d8d57620 | [
"Apache-2.0"
] | null | null | null | PyTester/data/Root.py | Sildra/PyTester | ebe16dc4dc169416ee839adc03e42806d8d57620 | [
"Apache-2.0"
] | null | null | null | PyTester/data/Root.py | Sildra/PyTester | ebe16dc4dc169416ee839adc03e42806d8d57620 | [
"Apache-2.0"
] | null | null | null | from data.Category import Category
class Root(Category):
"""description of class"""
instance = None
def __init__(self, args, name="Root", depth=-1):
super().__init__(args.path, name, depth)
global instance
instance = self
self.args = args
def accept(self, visitor):
... | 23.571429 | 52 | 0.589394 | 77 | 660 | 4.909091 | 0.493506 | 0.042328 | 0.042328 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004348 | 0.30303 | 660 | 27 | 53 | 24.444444 | 0.817391 | 0.030303 | 0 | 0.1 | 0 | 0 | 0.006309 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.05 | 0.05 | 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 |
8f41984526bd0a507c9c13a13aba537060703cb9 | 2,880 | py | Python | predict.py | wangruichens/textcnn | 99dadc2da13d6dff48cc824492788046ceb82031 | [
"Apache-2.0"
] | null | null | null | predict.py | wangruichens/textcnn | 99dadc2da13d6dff48cc824492788046ceb82031 | [
"Apache-2.0"
] | null | null | null | predict.py | wangruichens/textcnn | 99dadc2da13d6dff48cc824492788046ceb82031 | [
"Apache-2.0"
] | null | null | null | # @Time : 18-11-5
# @Author : wangrc
# @Refers :
# @Outputs :
# @Desc :
import tensorflow as tf
import numpy as np
import os
import time
import datetime
import data_helpers
from text_cnn import TextCNN
from tensorflow.contrib import learn
import csv
import read_nlpcc
# Eval Parameters
tf.flags.DEFINE_int... | 36 | 116 | 0.721875 | 390 | 2,880 | 5.092308 | 0.369231 | 0.021148 | 0.032729 | 0.038268 | 0.131923 | 0.108761 | 0.032226 | 0 | 0 | 0 | 0 | 0.015158 | 0.152431 | 2,880 | 79 | 117 | 36.455696 | 0.798443 | 0.160417 | 0 | 0 | 0 | 0 | 0.171321 | 0.02501 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.23913 | 0 | 0.23913 | 0.065217 | 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 |
8f46e0716183980d44e4a86f4c6e12b6c8d6a358 | 1,422 | py | Python | innuendo/core/interface.py | innuendoio/innuendo-agent-python | bcd79ddaf39083fa6498d1c9af2be2d79e495fc2 | [
"MIT"
] | null | null | null | innuendo/core/interface.py | innuendoio/innuendo-agent-python | bcd79ddaf39083fa6498d1c9af2be2d79e495fc2 | [
"MIT"
] | null | null | null | innuendo/core/interface.py | innuendoio/innuendo-agent-python | bcd79ddaf39083fa6498d1c9af2be2d79e495fc2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Backwards compatibility imports
from __future__ import absolute_import, division, print_function
from builtins import *
# Imports
import sys
import imp
import os
import argparse
import traceback
from innuendo.utils import file_manager as fm, parser
class TerminalInterface():
def __init... | 27.346154 | 97 | 0.613221 | 175 | 1,422 | 4.748571 | 0.445714 | 0.057762 | 0.028881 | 0.043321 | 0.079422 | 0.079422 | 0.079422 | 0.079422 | 0 | 0 | 0 | 0.000978 | 0.280591 | 1,422 | 51 | 98 | 27.882353 | 0.811339 | 0.094937 | 0 | 0.176471 | 0 | 0 | 0.039844 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.235294 | 0 | 0.352941 | 0.205882 | 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 |
8f483a2d601c9006e62be6731d151449cfbbb0bc | 8,108 | py | Python | IMLearn/learners/gaussian_estimators.py | guymkaplan/IML.HUJI | cd0aac71c3684bca9a64df13b0ba15d42ec88e98 | [
"MIT"
] | null | null | null | IMLearn/learners/gaussian_estimators.py | guymkaplan/IML.HUJI | cd0aac71c3684bca9a64df13b0ba15d42ec88e98 | [
"MIT"
] | null | null | null | IMLearn/learners/gaussian_estimators.py | guymkaplan/IML.HUJI | cd0aac71c3684bca9a64df13b0ba15d42ec88e98 | [
"MIT"
] | null | null | null | from __future__ import annotations
import math
import numpy as np
from numpy.linalg import inv, det, slogdet
class UnivariateGaussian:
"""
Class for univariate Gaussian Distribution Estimator
"""
def __init__(self, biased_var: bool = False) -> UnivariateGaussian:
"""
Estimator for un... | 32.562249 | 115 | 0.583004 | 958 | 8,108 | 4.818372 | 0.160752 | 0.023397 | 0.036395 | 0.038995 | 0.602686 | 0.560659 | 0.485269 | 0.485269 | 0.465771 | 0.433276 | 0 | 0.005595 | 0.316601 | 8,108 | 248 | 116 | 32.693548 | 0.827468 | 0.519364 | 0 | 0.216667 | 0 | 0 | 0.042857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.066667 | 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 |
8f499412eff769d36ce3fc8f434016dea692f534 | 1,509 | py | Python | pycqed/analysis/fit_toolbox/init_guess.py | nuttamas/PycQED_py3 | 1ee35c7428d36ed42ba4afb5d4bda98140b2283e | [
"MIT"
] | 60 | 2016-08-03T10:00:18.000Z | 2021-11-10T11:46:16.000Z | pycqed/analysis/fit_toolbox/init_guess.py | nuttamas/PycQED_py3 | 1ee35c7428d36ed42ba4afb5d4bda98140b2283e | [
"MIT"
] | 512 | 2016-08-03T17:10:02.000Z | 2022-03-31T14:03:43.000Z | pycqed/analysis/fit_toolbox/init_guess.py | nuttamas/PycQED_py3 | 1ee35c7428d36ed42ba4afb5d4bda98140b2283e | [
"MIT"
] | 34 | 2016-10-19T12:00:52.000Z | 2022-03-19T04:43:26.000Z | import numpy
from scipy import *
def lorentzian(x_data, y_data):
p=4*[0]
y_min = min(y_data)
index_y_min = y_data.tolist().index(y_min)
x_min = x_data[index_y_min]
y_max = max(y_data)
index_y_max = y_data.tolist().index(y_max)
y_mean = y_data.mean()
HM = (y_max - y_min)/2
#print 'ch... | 26.473684 | 98 | 0.588469 | 247 | 1,509 | 3.259109 | 0.174089 | 0.126708 | 0.122981 | 0.063354 | 0.445963 | 0.252174 | 0.173913 | 0.173913 | 0.091925 | 0 | 0 | 0.030564 | 0.306163 | 1,509 | 56 | 99 | 26.946429 | 0.7383 | 0.132538 | 0 | 0.055556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.055556 | 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 |
8f4a9032ca67ddad37ba103c8f41aa58eaf22f85 | 268 | py | Python | src/rez/data/tests/commands/packages/rextest2/2/package.py | alexey-pelykh/rez | ad12105d89d658e4d2ea9249e537b3de90391f0e | [
"Apache-2.0"
] | null | null | null | src/rez/data/tests/commands/packages/rextest2/2/package.py | alexey-pelykh/rez | ad12105d89d658e4d2ea9249e537b3de90391f0e | [
"Apache-2.0"
] | null | null | null | src/rez/data/tests/commands/packages/rextest2/2/package.py | alexey-pelykh/rez | ad12105d89d658e4d2ea9249e537b3de90391f0e | [
"Apache-2.0"
] | 1 | 2020-09-24T08:33:43.000Z | 2020-09-24T08:33:43.000Z | name = 'rextest2'
version = '2'
requires = ["rextest-1.3"]
def commands():
# prepend to existing var
env.REXTEST_DIRS.append('{root}/data2')
setenv("REXTEST2_REXTEST_VER", '{resolve.rextest.version}')
env.REXTEST2_REXTEST_BASE = resolve.rextest.base
| 24.363636 | 63 | 0.697761 | 34 | 268 | 5.352941 | 0.676471 | 0.164835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030702 | 0.149254 | 268 | 10 | 64 | 26.8 | 0.767544 | 0.085821 | 0 | 0 | 0 | 0 | 0.316872 | 0.102881 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 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 |
8f4cb0e01f8ead732bd4879f7c1e12e4253c6239 | 937 | py | Python | examples/CheckFirmwareVersion.py | drizztguen77/PTHat | f46d05054875599e80b396f74bc5a348cfcefbfb | [
"Apache-2.0"
] | 5 | 2021-01-28T13:26:08.000Z | 2022-02-24T08:15:44.000Z | examples/CheckFirmwareVersion.py | drizztguen77/PTHat | f46d05054875599e80b396f74bc5a348cfcefbfb | [
"Apache-2.0"
] | null | null | null | examples/CheckFirmwareVersion.py | drizztguen77/PTHat | f46d05054875599e80b396f74bc5a348cfcefbfb | [
"Apache-2.0"
] | null | null | null | """
This is an example of setting up an Axis (motor) and starting it, revving it up to a specified RPM and letting it
run for some time and then shutting it down.
This example does not auto send the commands. It gets the command and then sends it to the send_command method.
"""
from pthat.pthat import Axis
def wait_... | 32.310345 | 113 | 0.742796 | 143 | 937 | 4.706294 | 0.454545 | 0.111441 | 0.047548 | 0.056464 | 0.08321 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007643 | 0.16222 | 937 | 28 | 114 | 33.464286 | 0.849682 | 0.358591 | 0 | 0 | 0 | 0 | 0.133672 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.166667 | 0.083333 | 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 |
8f583755beca1d6f083766bc7e6fb3691cf83619 | 1,015 | py | Python | pw22/__main__.py | paeronskruven/pyweek22 | 4657b03a49c011581af6ae460fd97b6d58d13ead | [
"MIT"
] | null | null | null | pw22/__main__.py | paeronskruven/pyweek22 | 4657b03a49c011581af6ae460fd97b6d58d13ead | [
"MIT"
] | null | null | null | pw22/__main__.py | paeronskruven/pyweek22 | 4657b03a49c011581af6ae460fd97b6d58d13ead | [
"MIT"
] | null | null | null | import pyglet
import logging
logging.basicConfig(format='%(asctime)s %(module)s %(levelname)s %(message)s', level=logging.DEBUG)
# setup resource paths before importing any game code
pyglet.resource.path = ['data', 'data/tiles']
pyglet.resource.reindex()
from .scenes import SceneManager, GameScene
window = pyglet.w... | 22.065217 | 99 | 0.729064 | 136 | 1,015 | 5.301471 | 0.485294 | 0.066574 | 0.041609 | 0.047157 | 0.080444 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008083 | 0.146798 | 1,015 | 45 | 100 | 22.555556 | 0.82448 | 0.050246 | 0 | 0.206897 | 0 | 0 | 0.077963 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.103448 | 0 | 0.206897 | 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 |
8f58b85680a38832bb5ae69272da473e0e9adc35 | 1,993 | py | Python | src/web-scrapers/GetFixtures.py | CharlesFrankum/FF_Team_Selector | f230904faa6713dcec97e086e14eb7d841de9278 | [
"Apache-2.0"
] | null | null | null | src/web-scrapers/GetFixtures.py | CharlesFrankum/FF_Team_Selector | f230904faa6713dcec97e086e14eb7d841de9278 | [
"Apache-2.0"
] | 3 | 2021-03-31T19:24:31.000Z | 2021-12-13T20:07:43.000Z | src/web-scrapers/GetFixtures.py | CharlesFrankum/FF_Team_Selector | f230904faa6713dcec97e086e14eb7d841de9278 | [
"Apache-2.0"
] | 1 | 2019-08-08T06:46:13.000Z | 2019-08-08T06:46:13.000Z | import os
import sys
sys.path.insert(1, f'{os.path.dirname(os.getcwd())}\\models\\')
from datetime import datetime
from time import sleep
import pandas as pd
from Mapper import df_ISO3_mapper
def get_fixture_data(url, driver):
# Get Fixture data for gameweeks 1-38
home_teams = []
away_teams = []
... | 31.634921 | 117 | 0.586553 | 263 | 1,993 | 4.235741 | 0.38403 | 0.02693 | 0.037702 | 0.025135 | 0.113106 | 0.08079 | 0 | 0 | 0 | 0 | 0 | 0.012074 | 0.293527 | 1,993 | 62 | 118 | 32.145161 | 0.779119 | 0.044656 | 0 | 0 | 0 | 0 | 0.143609 | 0.052604 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.130435 | 0 | 0.217391 | 0.021739 | 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 |
8f5cb3300698dddd958b6e5a7a02e3cb797a505c | 463 | py | Python | stackstats/settings.py | kapsali29/StackStatsAPI | 5181bd5275129080206350e147ce6b1db18a0b69 | [
"MIT"
] | null | null | null | stackstats/settings.py | kapsali29/StackStatsAPI | 5181bd5275129080206350e147ce6b1db18a0b69 | [
"MIT"
] | null | null | null | stackstats/settings.py | kapsali29/StackStatsAPI | 5181bd5275129080206350e147ce6b1db18a0b69 | [
"MIT"
] | null | null | null | # =================================
# STACKEXCHANGE APP SETTINGS
# =================================
CLIENT_ID = "***"
CLIENT_SECRET = "*****"
KEY = "****"
ACCESS_TOKEN = "*****"
# =================================
# STACKEXCHANGE API SETTINGS
# =================================
STACKEXCHANGE_URL = "api.stackexchange.... | 27.235294 | 44 | 0.490281 | 37 | 463 | 5.864865 | 0.594595 | 0.092166 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009592 | 0.099352 | 463 | 17 | 45 | 27.235294 | 0.510791 | 0.408207 | 0 | 0 | 0 | 0 | 0.313433 | 0.179104 | 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 |
8f60c2158a21875e4f1814a10f74c2d6e01951da | 410 | py | Python | src/leetcode/1997/sol_0.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | 1 | 2021-07-11T03:20:10.000Z | 2021-07-11T03:20:10.000Z | src/leetcode/1997/sol_0.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | 39 | 2021-07-10T05:21:09.000Z | 2021-12-15T06:10:12.000Z | src/leetcode/1997/sol_0.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | null | null | null | import typing
import functools
class Solution:
def firstDayBeenInAllRooms(
self,
nx: typing.List[int],
) -> int:
mod = 10 ** 9 + 7
@functools.lru_cache(maxsize=None)
def dfs(i: int):
if i == 0: return 0
res = 2 + dfs(i - 1)
if nx[i - 1] != i - 1:
res += dfs(i ... | 19.52381 | 42 | 0.495122 | 59 | 410 | 3.423729 | 0.474576 | 0.049505 | 0.049505 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05 | 0.365854 | 410 | 21 | 43 | 19.52381 | 0.726923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.4375 | 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 |
8f639c82ba6fc3b596994756f2ed202a124ee6d6 | 472 | py | Python | scripts/audio/replace.py | Y4SSIN/video-editor | 879e53ee689e0085140d10f3c7b35a4048ca233b | [
"MIT"
] | 8 | 2019-01-21T13:14:33.000Z | 2020-10-02T14:40:21.000Z | scripts/audio/replace.py | Y4SSIN/video-editor | 879e53ee689e0085140d10f3c7b35a4048ca233b | [
"MIT"
] | 3 | 2021-06-08T21:30:11.000Z | 2022-03-12T00:28:37.000Z | scripts/audio/replace.py | Y4SSIN/video-editor | 879e53ee689e0085140d10f3c7b35a4048ca233b | [
"MIT"
] | 2 | 2020-12-01T16:59:04.000Z | 2021-02-01T03:31:21.000Z | '''
This function gives you the possibility to
replace the video audio.
'''
import os
def replace_audio(video_file_path, audio_file_path):
old_filename = video_file_path.rsplit('\\', 1)[-1]
old_extension = os.path.splitext(video_file_path)[1]
new_filename = old_filename.replace(old_extension, '.mp4')
... | 31.466667 | 152 | 0.722458 | 79 | 472 | 4.075949 | 0.493671 | 0.149068 | 0.161491 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02716 | 0.141949 | 472 | 14 | 153 | 33.714286 | 0.767901 | 0.144068 | 0 | 0 | 0 | 0.166667 | 0.353535 | 0.070707 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 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 |
8f64fd79f6f4e0f16023d3c4112423cb2c29995a | 405 | py | Python | sims-g2/pos-adv/code/plot2D.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | 1 | 2019-12-19T16:21:13.000Z | 2019-12-19T16:21:13.000Z | sims-g2/pos-adv/code/plot2D.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | null | null | null | sims-g2/pos-adv/code/plot2D.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | 2 | 2020-01-08T06:23:33.000Z | 2020-01-08T07:06:50.000Z | from pylab import *
X = linspace(-1, 1, 50)
XX, YY = meshgrid(X, X)
def calcf(XX, YY, mu1):
f1 = 0.5
f2 = 1/(2*sqrt(3)*mu1)
f3 = 1/(2*sqrt(3)*mu1)
f4 = 1/(6*mu1**2)
return f1*0.5 + f2*sqrt(3)*XX/2 + f3*sqrt(3)*YY/2 + 3*XX*YY/2
mu1 = 3.0/5.0
f1 = calcf(XX, YY, mu1)
pcolormesh(XX, YY, transpose(f1... | 19.285714 | 65 | 0.540741 | 84 | 405 | 2.607143 | 0.404762 | 0.091324 | 0.082192 | 0.109589 | 0.091324 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137072 | 0.207407 | 405 | 20 | 66 | 20.25 | 0.545171 | 0 | 0 | 0 | 0 | 0 | 0.054321 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.1875 | 0.0625 | 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 |
8f651734783eec2d577591561e02a2c193bbe807 | 4,312 | py | Python | cfn_custom_resources_backed_by_step_functions/cfn_custom_resources_backed_by_step_functions_stack.py | bitesizedserverless/cfn-custom-resources-backed-by-step-functions | 45c424a9d6f491700e1729ef88c5fee36beb5e44 | [
"MIT"
] | null | null | null | cfn_custom_resources_backed_by_step_functions/cfn_custom_resources_backed_by_step_functions_stack.py | bitesizedserverless/cfn-custom-resources-backed-by-step-functions | 45c424a9d6f491700e1729ef88c5fee36beb5e44 | [
"MIT"
] | null | null | null | cfn_custom_resources_backed_by_step_functions/cfn_custom_resources_backed_by_step_functions_stack.py | bitesizedserverless/cfn-custom-resources-backed-by-step-functions | 45c424a9d6f491700e1729ef88c5fee36beb5e44 | [
"MIT"
] | null | null | null | """Module for the main CfnCustomResourcesBackedByStepFunctions Stack."""
# Standard library imports
import time
# Related third party imports
# -
# Local application/library specific imports
from aws_cdk import (
core as cdk,
aws_lambda as lambda_,
aws_stepfunctions as sfn,
aws_stepfunctions_tasks as... | 35.344262 | 90 | 0.606679 | 424 | 4,312 | 5.910377 | 0.351415 | 0.038308 | 0.030726 | 0.028731 | 0.226257 | 0.173184 | 0.136872 | 0.063448 | 0.063448 | 0.063448 | 0 | 0.008452 | 0.314007 | 4,312 | 121 | 91 | 35.636364 | 0.838742 | 0.265074 | 0 | 0.202703 | 0 | 0 | 0.143314 | 0.066539 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013514 | false | 0 | 0.027027 | 0 | 0.054054 | 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 |
8f6693ddb85d3bb717698451379c61708255fc9d | 9,726 | py | Python | Pokemon/pokemon_item.py | V-FEXrt/Pokemon-Spoof-Plus | d397d680742496b7f64b401511da7eb57f63c973 | [
"MIT"
] | 2 | 2017-05-04T20:24:19.000Z | 2017-05-04T20:58:07.000Z | Pokemon/pokemon_item.py | V-FEXrt/Pokemon-Spoof-Plus | d397d680742496b7f64b401511da7eb57f63c973 | [
"MIT"
] | null | null | null | Pokemon/pokemon_item.py | V-FEXrt/Pokemon-Spoof-Plus | d397d680742496b7f64b401511da7eb57f63c973 | [
"MIT"
] | null | null | null | import random
class Item():
def __init__(self, name, hex):
self.name = name
self.hex = hex
def __str__(self):
return self.name
@staticmethod
def fromBytes(hex):
return Item.reverse[hex]
@staticmethod
def buildReverse():
reverse = {}
Item.membe... | 36.980989 | 118 | 0.699054 | 1,493 | 9,726 | 4.45144 | 0.358339 | 0.018056 | 0.004514 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.089473 | 0.127802 | 9,726 | 262 | 119 | 37.122137 | 0.693976 | 0 | 0 | 0.011952 | 0 | 0 | 0.193728 | 0 | 0 | 0 | 0.09419 | 0 | 0 | 1 | 0.01992 | false | 0.003984 | 0.003984 | 0.011952 | 0.039841 | 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 |
8f66a163bf1e5878e2474fa634b0488a8aa1b816 | 3,589 | py | Python | train.py | Markus-Goetz/block-prediction | 3f89d17d449f023d60fae5ec6bd712cb6cc8cb50 | [
"MIT"
] | 5 | 2018-11-28T22:18:29.000Z | 2021-08-16T22:09:35.000Z | train.py | Markus-Goetz/block-prediction | 3f89d17d449f023d60fae5ec6bd712cb6cc8cb50 | [
"MIT"
] | null | null | null | train.py | Markus-Goetz/block-prediction | 3f89d17d449f023d60fae5ec6bd712cb6cc8cb50 | [
"MIT"
] | 5 | 2018-12-03T08:40:46.000Z | 2022-02-21T14:21:52.000Z | #!/usr/bin/env python
import argparse
import pickle
import h5py
from keras import optimizers
from keras.callbacks import ModelCheckpoint
from keras.layers import Activation, add, BatchNormalization, Conv2D, Dense, Dropout, Flatten, Input, ZeroPadding2D
from keras.models import load_model, Model
from keras.regularizers... | 31.482456 | 148 | 0.679019 | 474 | 3,589 | 4.987342 | 0.381857 | 0.022843 | 0.021574 | 0.020305 | 0.059222 | 0.036379 | 0.036379 | 0.036379 | 0 | 0 | 0 | 0.029036 | 0.193926 | 3,589 | 113 | 149 | 31.761062 | 0.788109 | 0.048203 | 0 | 0.063291 | 0 | 0 | 0.088002 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075949 | false | 0 | 0.126582 | 0.012658 | 0.265823 | 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 |
8f6cda2b221292f939019bccf17b0c0c955ce9d9 | 492 | py | Python | options/test_options.py | salfamusic/encoder4editing | 8263cb9d42cd4811f4ab2768dfcc9085259fc251 | [
"MIT"
] | null | null | null | options/test_options.py | salfamusic/encoder4editing | 8263cb9d42cd4811f4ab2768dfcc9085259fc251 | [
"MIT"
] | null | null | null | options/test_options.py | salfamusic/encoder4editing | 8263cb9d42cd4811f4ab2768dfcc9085259fc251 | [
"MIT"
] | null | null | null | from .base_options import BaseOptions
class TestOptions(BaseOptions):
def initialize(self, parser):
BaseOptions.initialize(self, parser)
parser.set_defaults(phase='test')
parser.add_argument('--only_for_test', type=str, default='...')
parser.add_argument('--network_pkl', type=str,... | 41 | 109 | 0.705285 | 59 | 492 | 5.711864 | 0.610169 | 0.080119 | 0.151335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007264 | 0.160569 | 492 | 12 | 110 | 41 | 0.808717 | 0 | 0 | 0 | 0 | 0 | 0.243408 | 0.131846 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 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 |
8f745bc0d930118b19141f5dfac7b6915950c7e9 | 1,772 | py | Python | f5/bigiq/cm/device/licensing/pool/initial_activation.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 272 | 2016-02-23T06:05:44.000Z | 2022-02-20T02:09:32.000Z | f5/bigiq/cm/device/licensing/pool/initial_activation.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 1,103 | 2016-02-11T17:48:03.000Z | 2022-02-15T17:13:37.000Z | f5/bigiq/cm/device/licensing/pool/initial_activation.py | nghia-tran/f5-common-python | acb23a6e5830a119b460c19a578654113419f5c3 | [
"Apache-2.0"
] | 167 | 2016-02-11T17:48:21.000Z | 2022-01-17T20:13:05.000Z | # coding=utf-8
#
# Copyright 2017 F5 Networks 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 law or a... | 36.916667 | 118 | 0.738149 | 219 | 1,772 | 5.780822 | 0.488584 | 0.120853 | 0.067141 | 0.082938 | 0.28752 | 0.248025 | 0.218009 | 0.104265 | 0.104265 | 0.104265 | 0 | 0.008081 | 0.161964 | 1,772 | 47 | 119 | 37.702128 | 0.843771 | 0.426072 | 0 | 0.117647 | 0 | 0 | 0.35146 | 0.287009 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.352941 | 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 |
8f78b69e4772845ec293a193b3ef41aeb3b1c4fc | 1,491 | py | Python | prophet_gcp/utils.py | SpikeLab-CL/paralell_prophet | c04b069ae27eb8645dd10e0cf9992415e585ba62 | [
"WTFPL"
] | 7 | 2018-10-18T18:06:27.000Z | 2021-11-02T19:53:31.000Z | prophet_gcp/utils.py | SpikeLab-CL/paralell_prophet | c04b069ae27eb8645dd10e0cf9992415e585ba62 | [
"WTFPL"
] | null | null | null | prophet_gcp/utils.py | SpikeLab-CL/paralell_prophet | c04b069ae27eb8645dd10e0cf9992415e585ba62 | [
"WTFPL"
] | 5 | 2020-01-23T22:03:00.000Z | 2022-02-17T08:28:51.000Z | import dask.dataframe as dd
import pandas as pd
def load_parse_file(file_path, date_column="date"):
"""Loads a file into Pandas dataframe, and parse the datetime columns
Arguments:
file_path: string path to the input file.
Returns:
Dataframe: dask.dataframe from the file
... | 32.413043 | 77 | 0.646546 | 199 | 1,491 | 4.688442 | 0.38191 | 0.051447 | 0.072883 | 0.032154 | 0.083601 | 0.083601 | 0.083601 | 0.083601 | 0 | 0 | 0 | 0.000906 | 0.259557 | 1,491 | 46 | 78 | 32.413043 | 0.844203 | 0.326626 | 0 | 0 | 0 | 0 | 0.075862 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 1 | 0.142857 | false | 0 | 0.095238 | 0 | 0.380952 | 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 |
8f79be8eb8ccee8775fd0b6dbe06883ce3e72270 | 4,756 | py | Python | eva-accession-release-automation/run_release_in_embassy/analyze_vcf_validation_results.py | sundarvenkata-EBI/eva-accession | b26f0b5e5acaafe63d0755bad81837b9a5976237 | [
"Apache-2.0"
] | 3 | 2018-02-28T17:14:53.000Z | 2020-03-17T17:19:45.000Z | eva-accession-release-automation/run_release_in_embassy/analyze_vcf_validation_results.py | sundarvenkata-EBI/eva-accession | b26f0b5e5acaafe63d0755bad81837b9a5976237 | [
"Apache-2.0"
] | 52 | 2018-03-29T15:44:23.000Z | 2022-02-16T00:54:28.000Z | eva-accession-release-automation/run_release_in_embassy/analyze_vcf_validation_results.py | sundarvenkata-EBI/eva-accession | b26f0b5e5acaafe63d0755bad81837b9a5976237 | [
"Apache-2.0"
] | 15 | 2018-03-02T13:34:19.000Z | 2021-06-22T15:54:59.000Z | #!/usr/bin/env python3
# Copyright 2019 EMBL - European Bioinformatics Institute
#
# 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
#
# Unles... | 52.263736 | 118 | 0.660849 | 596 | 4,756 | 4.901007 | 0.271812 | 0.089011 | 0.071551 | 0.039028 | 0.618281 | 0.535433 | 0.495036 | 0.436837 | 0.371106 | 0.295104 | 0 | 0.009994 | 0.263667 | 4,756 | 90 | 119 | 52.844444 | 0.824101 | 0.126156 | 0 | 0.163934 | 0 | 0.032787 | 0.163448 | 0.005794 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.114754 | 0 | 0.213115 | 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 |
8f7c0232a0c1a08c2f41b65eb62c5d3ff5bd11ae | 3,562 | py | Python | tests/test_subnet.py | Diapolo10/iplib | 001479b2095fd8008f9db726b1bd9c0b0ee16eac | [
"MIT"
] | 6 | 2021-04-18T19:46:40.000Z | 2021-06-28T22:03:25.000Z | tests/test_subnet.py | Diapolo10/iplib | 001479b2095fd8008f9db726b1bd9c0b0ee16eac | [
"MIT"
] | 10 | 2021-05-01T19:46:35.000Z | 2021-07-04T08:39:35.000Z | tests/test_subnet.py | Diapolo10/iplib | 001479b2095fd8008f9db726b1bd9c0b0ee16eac | [
"MIT"
] | 4 | 2021-05-01T22:04:24.000Z | 2021-06-13T14:29:20.000Z | """Unit tests for iplib3.subnet"""
import pytest
from iplib3.subnet import ( # pylint: disable=import-error,no-name-in-module
SubnetMask,
PureSubnetMask,
)
from iplib3.constants import ( # pylint: disable=import-error,no-name-in-module
IPV4_MIN_SUBNET_VALUE,
IPV4_MAX_SUBNET_VALUE,
IPV6_MAX_SUBNE... | 29.683333 | 86 | 0.714486 | 455 | 3,562 | 5.265934 | 0.138462 | 0.113523 | 0.068865 | 0.11394 | 0.641903 | 0.5697 | 0.474124 | 0.450751 | 0.308431 | 0.20576 | 0 | 0.044302 | 0.169848 | 3,562 | 119 | 87 | 29.932773 | 0.765979 | 0.150477 | 0 | 0.236111 | 0 | 0 | 0.067814 | 0.028003 | 0 | 0 | 0 | 0 | 0.291667 | 1 | 0.152778 | false | 0 | 0.041667 | 0 | 0.194444 | 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 |
8f7e37d4906c116b6d7ca399d7e8dabb52aaae91 | 2,570 | py | Python | examples/linear_regression_with_database.py | facebookresearch/svinfer | 14edce1af6c91e622b8691f5d78a490a8585e7b5 | [
"Apache-2.0"
] | 14 | 2020-05-29T18:45:16.000Z | 2022-03-21T03:30:27.000Z | examples/linear_regression_with_database.py | facebookresearch/svinfer | 14edce1af6c91e622b8691f5d78a490a8585e7b5 | [
"Apache-2.0"
] | null | null | null | examples/linear_regression_with_database.py | facebookresearch/svinfer | 14edce1af6c91e622b8691f5d78a490a8585e7b5 | [
"Apache-2.0"
] | 1 | 2020-07-30T17:01:20.000Z | 2020-07-30T17:01:20.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# 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 b... | 39.538462 | 85 | 0.716342 | 374 | 2,570 | 4.828877 | 0.470588 | 0.033223 | 0.033223 | 0.037652 | 0.172204 | 0.153378 | 0.083056 | 0.036545 | 0 | 0 | 0 | 0.087567 | 0.19572 | 2,570 | 64 | 86 | 40.15625 | 0.786164 | 0.618677 | 0 | 0 | 0 | 0 | 0.17766 | 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 |
8f808924f32b0bba54dcbd5d9c58b33439b7f83b | 2,705 | py | Python | sightpy/backgrounds/skybox.py | ulises1229/Python-Raytracer | ad89b9dabda1c3eeb68af2d3578c3f38dee9f5b9 | [
"MIT"
] | 326 | 2020-08-14T07:29:40.000Z | 2022-03-30T11:13:32.000Z | sightpy/backgrounds/skybox.py | ulises1229/Python-Raytracer | ad89b9dabda1c3eeb68af2d3578c3f38dee9f5b9 | [
"MIT"
] | 7 | 2020-08-14T21:57:56.000Z | 2021-06-09T00:53:04.000Z | sightpy/backgrounds/skybox.py | ulises1229/Python-Raytracer | ad89b9dabda1c3eeb68af2d3578c3f38dee9f5b9 | [
"MIT"
] | 37 | 2020-08-14T17:37:56.000Z | 2022-03-30T09:37:22.000Z | from ..geometry import Cuboid_Collider, Primitive
from ..materials import Material
from ..utils.vector3 import vec3
from ..utils.constants import SKYBOX_DISTANCE
from ..utils.image_functions import load_image, load_image_as_linear_sRGB
from .util.blur_background import blur_skybox
class SkyBox(Primitive):
... | 46.637931 | 209 | 0.598521 | 361 | 2,705 | 4.315789 | 0.204986 | 0.107831 | 0.082157 | 0.073171 | 0.28113 | 0.195122 | 0.195122 | 0.18742 | 0.139923 | 0.139923 | 0 | 0.024723 | 0.267283 | 2,705 | 57 | 210 | 47.45614 | 0.761352 | 0.002218 | 0 | 0.097561 | 0 | 0 | 0.026515 | 0.011364 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121951 | false | 0 | 0.146341 | 0 | 0.390244 | 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 |
56a8d54ad528be2aaf7182e51f33608226c5e2df | 45,398 | py | Python | CGATPipelines/pipeline_exome_cancer.py | cdrakesmith/CGATPipelines | 3c94ae4f9d87d51108255dc405c4b95af7c8b694 | [
"MIT"
] | null | null | null | CGATPipelines/pipeline_exome_cancer.py | cdrakesmith/CGATPipelines | 3c94ae4f9d87d51108255dc405c4b95af7c8b694 | [
"MIT"
] | null | null | null | CGATPipelines/pipeline_exome_cancer.py | cdrakesmith/CGATPipelines | 3c94ae4f9d87d51108255dc405c4b95af7c8b694 | [
"MIT"
] | null | null | null | """
======================
Exome Cancer pipeline
======================
.. todo::
*Final filtering if SNPs/INDELs is currently done in the
reporting. This should be handled by the pipeline. The SNP output
would also then be passed to the mutational signature task
*Document
*fully make phone home/key o... | 35.973059 | 81 | 0.552998 | 4,554 | 45,398 | 5.390426 | 0.170839 | 0.021998 | 0.022446 | 0.016295 | 0.373676 | 0.337176 | 0.314201 | 0.296969 | 0.277049 | 0.265643 | 0 | 0.005522 | 0.230076 | 45,398 | 1,261 | 82 | 36.001586 | 0.696793 | 0.22675 | 0 | 0.392908 | 0 | 0.011348 | 0.389166 | 0.121364 | 0.001418 | 0 | 0 | 0.000793 | 0 | 1 | 0.08227 | false | 0.011348 | 0.01844 | 0 | 0.102128 | 0.002837 | 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 |
56af02a969b9dab95dd47f1d92c922008e2433c4 | 435 | py | Python | guestbook/models.py | hcpthanks/vCard | cc9a301f413961c398c355426013c0cc05fbb1b7 | [
"MIT"
] | null | null | null | guestbook/models.py | hcpthanks/vCard | cc9a301f413961c398c355426013c0cc05fbb1b7 | [
"MIT"
] | null | null | null | guestbook/models.py | hcpthanks/vCard | cc9a301f413961c398c355426013c0cc05fbb1b7 | [
"MIT"
] | null | null | null | import reprlib
from django.db import models
class Message(models.Model):
"""留言消息类
"""
name = models.CharField('用户名', max_length=20)
email = models.EmailField('邮箱', max_length=200)
message = models.TextField('留言')
active = models.BooleanField('有效', default=True)
posted = models.DateTimeField... | 27.1875 | 60 | 0.671264 | 55 | 435 | 5.163636 | 0.709091 | 0.091549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014085 | 0.183908 | 435 | 15 | 61 | 29 | 0.785915 | 0.011494 | 0 | 0 | 0 | 0 | 0.124105 | 0.093079 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 0.1 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
56b027366621352ff84a9bd75357a7f9c2bdede8 | 293 | py | Python | rationalratio/rationalratio.py | omarchehab98/open.kattis.com-problems | 0523e2e641151dad719ef05cc9811a8ef5c6a278 | [
"MIT"
] | 1 | 2020-10-04T22:41:04.000Z | 2020-10-04T22:41:04.000Z | rationalratio/rationalratio.py | omarchehab98/open.kattis.com-problems | 0523e2e641151dad719ef05cc9811a8ef5c6a278 | [
"MIT"
] | null | null | null | rationalratio/rationalratio.py | omarchehab98/open.kattis.com-problems | 0523e2e641151dad719ef05cc9811a8ef5c6a278 | [
"MIT"
] | null | null | null | from fractions import Fraction
x, d = input().split(' ')
d = int(d)
k = len(x) - x.index('.') - d - 1
a, b = x[0:-d].replace('.', ''), 10 ** k
ab = Fraction(int(a), b)
rd = Fraction(int(x[-d:]), (10 ** d - 1) * b)
result = ab + rd
print(str(result.numerator) + '/' + str(result.denominator))
| 26.636364 | 60 | 0.546075 | 50 | 293 | 3.2 | 0.5 | 0.025 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029289 | 0.1843 | 293 | 10 | 61 | 29.3 | 0.640167 | 0 | 0 | 0 | 0 | 0 | 0.013652 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 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 |
56b18a5e976b97460394eeab951ee9f6df83fd21 | 3,636 | py | Python | examples/doq_server.py | SouvikGhosh05/aioquic | da566b8ee616b9c83d51f0f5ad0521393119f40f | [
"BSD-3-Clause"
] | null | null | null | examples/doq_server.py | SouvikGhosh05/aioquic | da566b8ee616b9c83d51f0f5ad0521393119f40f | [
"BSD-3-Clause"
] | null | null | null | examples/doq_server.py | SouvikGhosh05/aioquic | da566b8ee616b9c83d51f0f5ad0521393119f40f | [
"BSD-3-Clause"
] | null | null | null | import argparse
import asyncio
import logging
import struct
from typing import Dict, Optional
from dnslib.dns import DNSRecord
from aioquic.asyncio import QuicConnectionProtocol, serve
from aioquic.quic.configuration import QuicConfiguration
from aioquic.quic.events import QuicEvent, StreamDataReceived
from aioquic.q... | 27.338346 | 81 | 0.622937 | 401 | 3,636 | 5.513716 | 0.38404 | 0.032564 | 0.061511 | 0.013569 | 0.055179 | 0.033469 | 0.033469 | 0 | 0 | 0 | 0 | 0.007553 | 0.271727 | 3,636 | 132 | 82 | 27.545455 | 0.827417 | 0.028603 | 0 | 0.12381 | 0 | 0 | 0.152817 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038095 | false | 0.009524 | 0.104762 | 0.009524 | 0.171429 | 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 |
56b2d0fc3f97f8a7563d2f632e5448b894ac8ef4 | 9,483 | py | Python | extended_templates/backends/pdf.py | knivets/djaodjin-extended-templates | 71bc725b3900fc45968e5a625d72dc0931561856 | [
"BSD-2-Clause"
] | null | null | null | extended_templates/backends/pdf.py | knivets/djaodjin-extended-templates | 71bc725b3900fc45968e5a625d72dc0931561856 | [
"BSD-2-Clause"
] | null | null | null | extended_templates/backends/pdf.py | knivets/djaodjin-extended-templates | 71bc725b3900fc45968e5a625d72dc0931561856 | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2018, Djaodjin Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and t... | 39.348548 | 80 | 0.61953 | 1,069 | 9,483 | 5.369504 | 0.315248 | 0.025087 | 0.017073 | 0.008014 | 0.088153 | 0.040418 | 0.040418 | 0.040418 | 0.023693 | 0.023693 | 0 | 0.005427 | 0.300432 | 9,483 | 240 | 81 | 39.5125 | 0.859813 | 0.240114 | 0 | 0.115385 | 0 | 0 | 0.066601 | 0.003239 | 0 | 0 | 0 | 0 | 0.00641 | 1 | 0.070513 | false | 0.012821 | 0.102564 | 0.00641 | 0.25641 | 0.012821 | 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 |
56b2fc9930c872a6e85f2a12f4ba1b8f96b7e270 | 1,484 | py | Python | python/practices/docset.py | gloomyline/ML | 3764ac7dd64e3a92de1b34d6a92a809e02f7c038 | [
"MIT"
] | null | null | null | python/practices/docset.py | gloomyline/ML | 3764ac7dd64e3a92de1b34d6a92a809e02f7c038 | [
"MIT"
] | null | null | null | python/practices/docset.py | gloomyline/ML | 3764ac7dd64e3a92de1b34d6a92a809e02f7c038 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: Administrator
# @Date: 2018-05-17 11:09:22
# @Last Modified by: Administrator
# @Last Modified time: 2018-05-17 11:23:24
class Dict(dict):
'''
Simple dict but also support access as x.y style.
>>> d1 = Dict()
>>> d1['x'] = 100
>>> d1.x
100
>>> d1.y = 200
>>> d1['y... | 21.823529 | 84 | 0.584232 | 210 | 1,484 | 3.985714 | 0.466667 | 0.033453 | 0.0681 | 0.082437 | 0.170848 | 0.081243 | 0.081243 | 0 | 0 | 0 | 0 | 0.074009 | 0.235175 | 1,484 | 68 | 85 | 21.823529 | 0.663436 | 0.607143 | 0 | 0 | 0 | 0 | 0.088477 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.05 | 0 | 0.45 | 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 |
56b748953a338c9c796774f938f8407392ae2efe | 1,498 | py | Python | docs/latex/src/plots/FOvsAsy2.py | vbertone/apfelxx | 7a37b982083b2a1cded2f5d6ab3aae267877f3c4 | [
"MIT"
] | 5 | 2019-10-07T14:01:59.000Z | 2021-04-13T19:54:47.000Z | docs/latex/src/plots/FOvsAsy2.py | vbertone/apfelxx | 7a37b982083b2a1cded2f5d6ab3aae267877f3c4 | [
"MIT"
] | 3 | 2017-05-30T10:43:40.000Z | 2018-09-11T14:29:53.000Z | docs/latex/src/plots/FOvsAsy2.py | vbertone/apfelxx | 7a37b982083b2a1cded2f5d6ab3aae267877f3c4 | [
"MIT"
] | 4 | 2019-06-23T08:42:00.000Z | 2022-03-18T15:25:46.000Z | import ruamel.yaml as yaml
import numpy as np
import matplotlib.pyplot as plt
import MatplotlibSettings
from scipy.interpolate import make_interp_spline, BSpline
# Loada data
data = np.loadtxt("FOvsAsy2.dat")
f, (ax1, ax2) = plt.subplots(2, 1, sharex = "all", gridspec_kw = dict(width_ratios = [1], height_ratios = [4,... | 41.611111 | 114 | 0.646862 | 261 | 1,498 | 3.643678 | 0.398467 | 0.066246 | 0.047319 | 0.057834 | 0.255521 | 0.214511 | 0.214511 | 0.138801 | 0.107256 | 0.071504 | 0 | 0.084465 | 0.11482 | 1,498 | 35 | 115 | 42.8 | 0.63273 | 0.006676 | 0 | 0 | 0 | 0.034483 | 0.222746 | 0.04105 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.172414 | 0 | 0.172414 | 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 |
56b9ba77444e2cd8a93d2c91b41f8c6f997f8056 | 2,006 | py | Python | generation/process_datasets/process-NYT.py | Pratik-11/roft | 29c54c9712832051170c47909a5d38790ff5350b | [
"MIT"
] | 10 | 2020-05-31T19:19:42.000Z | 2022-01-15T01:44:33.000Z | generation/process_datasets/process-NYT.py | kirubarajan/trick | 04ef53c1d9646e0d7e7ec0eb47cc94d423682421 | [
"MIT"
] | 121 | 2020-06-05T20:29:24.000Z | 2021-09-24T21:33:33.000Z | generation/process_datasets/process-NYT.py | kirubarajan/trick | 04ef53c1d9646e0d7e7ec0eb47cc94d423682421 | [
"MIT"
] | 2 | 2020-06-05T20:10:29.000Z | 2020-09-30T14:55:48.000Z | '''
Script to parse out the raw text of articles from the NYT Articles Corpus
This script will look for a directory named raw and find any .ta.xml
files inside, parse out the "text" field in the file, strip all newlines and
carriage returns from the file and then write the text out, one article per lin... | 37.849057 | 84 | 0.638584 | 277 | 2,006 | 4.494585 | 0.422383 | 0.053012 | 0.06747 | 0.055422 | 0.081928 | 0.081928 | 0 | 0 | 0 | 0 | 0 | 0.013917 | 0.247757 | 2,006 | 52 | 85 | 38.576923 | 0.811133 | 0.228814 | 0 | 0 | 0 | 0 | 0.105368 | 0.065606 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.055556 | 0.027778 | 0.277778 | 0.027778 | 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 |
56baa2531aac4a1b2d5cf0f754d7c2d4f1573f35 | 853 | py | Python | DataMGT/consumers.py | BerryBC/SpyDataWebAppAndAPI | 6dd42a186e6955575fb747f7ff69c5b5a060ca19 | [
"MIT"
] | null | null | null | DataMGT/consumers.py | BerryBC/SpyDataWebAppAndAPI | 6dd42a186e6955575fb747f7ff69c5b5a060ca19 | [
"MIT"
] | null | null | null | DataMGT/consumers.py | BerryBC/SpyDataWebAppAndAPI | 6dd42a186e6955575fb747f7ff69c5b5a060ca19 | [
"MIT"
] | null | null | null | '''
@Descripttion:
@Author: BerryBC
@Date: 2020-02-24 23:40:18
@LastEditors: BerryBC
@LastEditTime: 2020-04-29 22:28:49
'''
import json
import Lib.LLearn as LLearn
from channels.generic.websocket import WebsocketConsumer
class wsCreatSklearnModel(WebsocketConsumer):
def funFB2C(self,strMsg, intCode):
... | 23.054054 | 56 | 0.638921 | 98 | 853 | 5.520408 | 0.622449 | 0.044362 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054096 | 0.241501 | 853 | 37 | 57 | 23.054054 | 0.782071 | 0.135991 | 0 | 0 | 0 | 0 | 0.117808 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.15 | 0 | 0.4 | 0.1 | 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 |
56bb48fc93cbdd9d51e108045eb0d3f0918f92f4 | 821 | py | Python | main/test/test_image.py | kittenh2o/mosaic | 19dc7cb3300b00a055fad874a097aa7a011ca56f | [
"MIT"
] | null | null | null | main/test/test_image.py | kittenh2o/mosaic | 19dc7cb3300b00a055fad874a097aa7a011ca56f | [
"MIT"
] | null | null | null | main/test/test_image.py | kittenh2o/mosaic | 19dc7cb3300b00a055fad874a097aa7a011ca56f | [
"MIT"
] | null | null | null | import unittest
from main.core.process_pic import Image
class TestImage(unittest.TestCase):
def test_read(self):
uris = [
"https://res.cloudinary.com/dwf6x1ohn/image/upload/v1534347950/bgnppredgmslafb5pkpw.jpg",
"https://res.cloudinary.com/dwf6x1ohn/image/upload/v1534347979/wptzf... | 28.310345 | 101 | 0.618758 | 87 | 821 | 5.724138 | 0.586207 | 0.090361 | 0.114458 | 0.084337 | 0.164659 | 0.164659 | 0.164659 | 0 | 0 | 0 | 0 | 0.069805 | 0.249695 | 821 | 28 | 102 | 29.321429 | 0.738636 | 0 | 0 | 0 | 0 | 0 | 0.219245 | 0 | 0 | 0 | 0 | 0 | 0.15 | 1 | 0.05 | false | 0 | 0.1 | 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 |