index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
93,210 | joostgp/ml_toolbox | refs/heads/master | /kaggle.py | # -*- coding: utf-8 -*-
""" This module provides a class for automatic creation of Kaggle
submission file.
Usage:
# this creates a submission file
kag = KaggleResult(index=..., data=...)
# check correct dimensions of data and upload
if kag.validate()
kag.upload()
... | {"/runner.py": ["/kaggle.py"]} |
93,211 | joostgp/ml_toolbox | refs/heads/master | /runner.py | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 21 17:22:54 2016
WIP
"""
"""
Intented usage:
Train a set of classifiers with varying parameters and input data and compare the results later in a consistent and efficient way.
- output should be stored in a directory
- directory contains models and metadata
- optionally ... | {"/runner.py": ["/kaggle.py"]} |
93,212 | joostgp/ml_toolbox | refs/heads/master | /mykeras.py | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 19 11:46:27 2016
WIP
@author: joostgp
"""
"""
MyKeras is a convenience class for easily evaluating Keras models using HyperOpt
Intented usage:
Use a single class to initiate keras models and doing hyperoptimization using
HyperOpt. This class stores progress and results... | {"/runner.py": ["/kaggle.py"]} |
93,240 | linwenjunid/api-jwt | refs/heads/master | /app/auth/jwt.py | from app.models import User
from flask import current_app as app
def authenticate(username, password):
user=User.query.filter(username==username).first()
if user and user.verify_password(password):
app.logger.info('认证:%s'%user.username)
return user
def identity(payload):
user_id = payload[... | {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,241 | linwenjunid/api-jwt | refs/heads/master | /app/plus/views.py | from . import plus
from ..models import User
from flask_restplus import Api, Resource, fields
from flask_jwt import jwt_required, current_identity
@plus.before_request
def before_request():
pass
api = Api(plus)
parser = api.parser()
parser.add_argument('Authorization', help='令牌:JWT <token>', location='headers')... | {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,242 | linwenjunid/api-jwt | refs/heads/master | /app/__init__.py | from flask import Flask,request
from config import Config
from flask_sqlalchemy import SQLAlchemy
from flask_jwt import JWT,jwt_required
from flask_restplus import Api,Resource
db = SQLAlchemy()
conf = Config()
def create_app():
app=Flask(__name__)
app.config.from_object(conf)
#@app.after_request
#de... | {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,243 | linwenjunid/api-jwt | refs/heads/master | /app/models.py | from datetime import datetime
from werkzeug.security import generate_password_hash,check_password_hash
from flask import redirect,url_for
from app import db
class User(db.Model):
__tablename__='users'
id=db.Column(db.Integer,primary_key=True)
username=db.Column(db.String(64),unique=True,index=True)
ema... | {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,244 | linwenjunid/api-jwt | refs/heads/master | /app/plus/__init__.py | from flask import Blueprint
plus=Blueprint('plus',__name__)
from . import views
| {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,245 | linwenjunid/api-jwt | refs/heads/master | /app/auth/__init__.py | from . import jwt
| {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,246 | linwenjunid/api-jwt | refs/heads/master | /app/v1_0/__init__.py | from flask import Blueprint,jsonify
from flask_jwt import jwt_required, current_identity
api=Blueprint('api',__name__)
@api.before_request
@jwt_required()
def before_request():
current_identity.ping()
@api.app_errorhandler(404)
def page_not_found(e):
"""重新定义了404错误的返回
"""
return jsonify({'status_code'... | {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,247 | linwenjunid/api-jwt | refs/heads/master | /app/v1_0/demo.py | from flask import jsonify
from app.models import User
from . import api
@api.route('/users/<int:id>',methods=['GET'])
def get(id):
user=User.query.filter_by(id=id).first()
returnUser={}
if user:
returnUser={
'id': user.id,
'username': user.username,
'email': use... | {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,248 | linwenjunid/api-jwt | refs/heads/master | /config.py | import os
import logging
import logging.handlers
class Config:
SECRET_KEY=os.environ.get('SECRET_KEY')
SQLALCHEMY_COMMIT_ON_TEARDOWN=True
SQLALCHEMY_TRACK_MODIFICATIONS=True
SQLALCHEMY_DATABASE_URI=os.environ.get('ADMIN_SQLURL')
DEBUG=True
@staticmethod
def init_app(app):
#日志处理
... | {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,249 | linwenjunid/api-jwt | refs/heads/master | /server.py | from app import create_app,db
from app.models import User
from flask_script import Manager,Shell
from flask_migrate import Migrate,MigrateCommand
from flask import jsonify
app=create_app()
manager=Manager(app)
migrate=Migrate(app,db)
def make_shell_context():
return dict(app=app,db=db,User=User)
manager.add_comm... | {"/app/auth/jwt.py": ["/app/models.py"], "/app/plus/views.py": ["/app/plus/__init__.py", "/app/models.py"], "/app/__init__.py": ["/config.py", "/app/auth/jwt.py", "/app/plus/__init__.py", "/app/v1_0/__init__.py"], "/app/models.py": ["/app/__init__.py"], "/app/v1_0/demo.py": ["/app/models.py", "/app/v1_0/__init__.py"], ... |
93,258 | udacity/AIND-VUI-quizzes | refs/heads/master | /mfcc_quiz/function.py | from python_speech_features import mfcc
import scipy.io.wavfile as wav
def wav_to_mfcc(wav_filename, num_cepstrum):
""" extract MFCC features from a wav file
:param wav_filename: filename with .wav format
:param num_cepstrum: number of cepstrum to return
:return: MFCC features for wav file
"""
... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,259 | udacity/AIND-VUI-quizzes | refs/heads/master | /plots/melscale.py | import matplotlib.pyplot as plt
import numpy as np
# frequencies: start, end, spacing
f = np.arange(0,100000,50)
# mel scale equation per http://practicalcryptography.com/miscellaneous/machine-learning/guide-mel-frequency-cepstral-coefficients-mfccs/
m = 1125 * np.log(1+f/700)
fig, ax = plt.subplots()
ax.plot(f,m)
ax.... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,260 | udacity/AIND-VUI-quizzes | refs/heads/master | /fft_quiz/executioncode.py | import json
import numpy as np
import fft_quiz.function as function
import scipy.fftpack
import fft_quiz.utils as utils
result = {'is_correct': False,
'error': False,
'values': [],
'output': ''}
try:
# test choose_frequencies()
num_samples, spacing, t = utils.get_wave_timing()
... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,261 | udacity/AIND-VUI-quizzes | refs/heads/master | /mfcc_quiz/dutils.py | import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import make_axes_locatable
def plot_raw_audio(vis_raw_audio):
# plot the raw audio signal
fig = plt.figure(figsize=(12,3))
ax = fig.add_subplot(111)
steps = len(vis_raw_audio)
ax.plot(np.linspace(1, steps, steps), vis_r... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,262 | udacity/AIND-VUI-quizzes | refs/heads/master | /fft_quiz/utils.py | import numpy as np
def sinusoid(freq):
"""
return a sinusoidal of random amplitude and phase for a given frequency
:param freq:
:return:
"""
phase = np.random.random()
amplitude = 2 * (np.random.random_integers(1, 10))
return amplitude * np.cos(2 * np.pi * freq - phase)
def get_wave... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,263 | udacity/AIND-VUI-quizzes | refs/heads/master | /fft_quiz/dutils.py | import matplotlib.pyplot as plt
import numpy as np
def display_sinusoids(time_array, f1, f2, f3, sum):
# plot three frequencies with random phase shifts on y axis
# plt.figure()
fig, ax = plt.subplots(4, 1)
# plt.subplot(411) # 3 rows, 1 column, fignum 1
ax[0].plot(time_array, f1)
ax[0].set_ti... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,264 | udacity/AIND-VUI-quizzes | refs/heads/master | /ngram_quiz_3/solution.py | import ngram_quiz_3.utils as utils
test_sentences = [
'the old man spoke to me',
'me to spoke man old the',
'old man me old man me',
]
def sample_run():
# sample usage by test code (this definition not actually run for the quiz)
bigram_log_dict = utils.bigram_add1_logs('transcripts.txt')
for s... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,265 | udacity/AIND-VUI-quizzes | refs/heads/master | /mfcc_quiz/executioncode.py | import json
import mfcc_quiz.function as function
import numpy as np
from python_speech_features import mfcc
import scipy.io.wavfile as wav
result = {'is_correct': False,
'error': False,
'values': [],
'output': ''}
try:
# test wav_to_mfcc()
mfcc_features = function.wav_to_mfcc(... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,266 | udacity/AIND-VUI-quizzes | refs/heads/master | /python_quiz/executioncode.py | import json
import python_quiz.function as function
result = {'is_correct': False,
'error': False,
'values': [],
'output': ''}
test_invalid_link = 'Not "valid" at all!'
test_valid_link = 'Here is a <a href="https://udacity.com">valid link</a>'
valid_url = "https://udacity.com"
valid_end... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,267 | udacity/AIND-VUI-quizzes | refs/heads/master | /mfcc_quiz/testcode.py | # import os
# import sys
#
# sys.path.append('/opt/udacity/opencv/lib/python3.4/dist-packages')
# import cv2
# import base64
# import json
# import subprocess
# import numpy as np
# from io import BytesIO
#
# image_start = "BEGIN_IMAGE_f9825uweof8jw9fj4r8"
# image_end = "END_IMAGE_0238jfw08fjsiufhw8frs"
#
# image_name_... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,268 | udacity/AIND-VUI-quizzes | refs/heads/master | /ngram_quiz_1/executioncode.py | import json
import ngram_quiz_1.function as function
result = {'is_correct': False,
'error': False,
'values': [],
'output': ''}
try:
# test sentence_to_bigrams() function
sentence = 'the old man spoke to me'
t, b = function.sentence_to_bigrams(sentence)
sentence_tokens =... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,269 | udacity/AIND-VUI-quizzes | refs/heads/master | /ngram_quiz_3/gradingcode.py | """
Grading Code - The Python code responsible for marking submission correct/incorrect
and to provide feedback when a student clicks ‘Submit’.
To do this, you need to use the dictionary called
executor_result
which contains the output of the Execution Code. The executor_result dictionary co... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,270 | udacity/AIND-VUI-quizzes | refs/heads/master | /python_quiz/function.py | # if there is a link it behaves as before, but
# if there is no link tag in the input string,
# it returns None, 0.
# Note that None is not a string and so should
# not be enclosed in quotes.
# Also note that your answer will appear in
# parentheses if you print it.
def get_next_target(page):
start_link = page.f... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,271 | udacity/AIND-VUI-quizzes | refs/heads/master | /fft_quiz/testcode.py | # import os
# import sys
#
# sys.path.append('/opt/udacity/opencv/lib/python3.4/dist-packages')
# import cv2
# import base64
# import json
# import subprocess
# import numpy as np
# from io import BytesIO
#
# image_start = "BEGIN_IMAGE_f9825uweof8jw9fj4r8"
# image_end = "END_IMAGE_0238jfw08fjsiufhw8frs"
#
# image_name_... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,272 | udacity/AIND-VUI-quizzes | refs/heads/master | /python_quiz/testcode.py | # start of this quiz code
import python_quiz.function as function
tests = [
'Not "valid" at all!',
'Here is a <a href="https://udacity.com">valid link</a>'
]
for i, test in enumerate(tests):
print("Test {}: {}".format(i, test))
url, enpos = function.get_next_target(test)
print('returned values wer... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,273 | udacity/AIND-VUI-quizzes | refs/heads/master | /plots/fft.py | import matplotlib.pyplot as plt
import numpy as np
import scipy.fftpack
def example():
# https: // stackoverflow.com / questions / 25735153 / plotting - a - fast - fourier - transform - in -python
import numpy as np
import matplotlib.pyplot as plt
import scipy.fftpack
# Number of samplepoints
... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,274 | udacity/AIND-VUI-quizzes | refs/heads/master | /ngram_quiz_2/executioncode.py | import json
import numpy as np
import ngram_quiz_2.function as function
import ngram_quiz_2.utils as utils
from collections import Counter
result = {'is_correct': False,
'error': False,
'values': [],
'output': ''}
test_transcript = 'sam i am i am sam'
try:
# test function.bigram_mle... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,275 | udacity/AIND-VUI-quizzes | refs/heads/master | /ngram_quiz_3/executioncode.py | import json
import numpy as np
import ngram_quiz_3.function as function
import ngram_quiz_3.utils as utils
from collections import Counter
result = {'is_correct': False,
'error': False,
'values': [],
'output': ''}
test_sentence = 'the old man spoke to me'
try:
bigram_log_dict = util... | {"/mfcc_quiz/function.py": ["/mfcc_quiz/dutils.py"], "/fft_quiz/executioncode.py": ["/fft_quiz/utils.py"], "/mfcc_quiz/executioncode.py": ["/mfcc_quiz/function.py"], "/python_quiz/executioncode.py": ["/python_quiz/function.py"], "/mfcc_quiz/testcode.py": ["/mfcc_quiz/function.py", "/mfcc_quiz/dutils.py"], "/fft_quiz/te... |
93,287 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/migrations/0002_auto_20170921_0736.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-21 07:36
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('PMRCT', '0001_initial'),
]
operations = [
migrations.RenameModel(
old_n... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,288 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/find-verbal.py | import nltk
import subprocess
import re
import sys
from nltk import stem
# fall = open('../data/processed_data/test_text.vocab.alphabet', 'r')
# fverbal = open('../data/processed_data/test_text.verbal', 'w')
# felse = open('../data/processed_data/test_text.else', 'w')
# fall = open('../data/processed_data/training_te... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,289 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/make_term_dic.py | import re
from nltk.corpus import stopwords
from nltk import stem
f = open('../data/processed_data/term.synonym', 'r')
d = open('../data/processed_data/term.dic', 'w')
dic = {}
stemmer = stem.PorterStemmer()
for line in f:
line = line.replace('\n','')
line = line.strip()
line = line.replace('|', ' ')
... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,290 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/mining_phrases-bayse-verbal.py | import re
from collections import defaultdict
from math import log
# target = open('../data/test_text')
# target = open('../data/training_text')
#----------- MINING PHRASES FROM TRAINING DATA --------------
target = open('../data/training_text', 'r')
gene_variation = open('../data/training_variants', 'r')
verbal =... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,291 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/handle_unknown_words.py | import re
from collections import defaultdict
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.corpus import wordnet as wn
from nltk import stem
stemmer = stem.LancasterStemmer()
#----------- MINING PHRASES FROM TRAINING DATA --------------
def getSynonyms(word):
syns = wn.synsets(word)
synonyms = [... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,292 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/urls.py | from django.conf.urls import include, url
from . import views
urlpatterns = [
url(r'^PMRCT/$', views.bootstrapping, name='bootstrapping'),
url(r'^PMRCT/input_seed_data/$', views.input_seed_data, name='input_seed_data'),
url(r'^PMRCT/search_new_snippets/$', views.search_new_snippets, name='search_new_snippe... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,293 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/migrations/0001_initial.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-21 00:38
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Behaiv... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,294 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/main.py | import os
import json
import codecs
import re
import numpy as np
from sklearn import preprocessing
from sklearn.decomposition import PCA
from sklearn.datasets import make_moons, make_circles, make_classification
from sklearn.neighbors import KNeighborsClassifier
from sklearn import svm
from sklearn.linear_model import... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,295 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/word-occurrence-prob.py | import re
from collections import defaultdict
from math import log
# target = open('../data/test_text')
# target = open('../data/training_text')
#----------- MINING PHRASES FROM TRAINING DATA --------------
target = open('../data/training_text', 'r')
gene_variation = open('../data/training_variants', 'r')
verbal =... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,296 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/behavioral_expression.py | import re
f = open('../data/training_text')
for doc in f:
# print(doc[:20])
m = re.match(r'^\d+\|\|(.*)$',doc)
if m:
content = m.group(1)
# print(content[:20])
sentences = content.split('.')
for s in sentences:
# expression pattern 1
exp_behavioral = r"([^\s\,]+\s)(behav|rol... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,297 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/find-verbal-pair.py | import re
# target = open('./dummy.pair')
target = open('../data/processed_data/training_text.patten.m5s0S2')
verbal = open('../data/processed_data/training_text.verbal.clean')
verbals = []
for line in verbal:
line = line.replace('\n','')
line = line.strip()
if re.match("^is|are|was|were|be|been|being|do|... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,298 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/doc2sentences-filter.py | import re
f = open('../data/training_text')
for doc in f:
# print(doc[:20])
m = re.match(r'^\d+\|\|(.*)$',doc)
if m:
content = m.group(1)
sentences = content.split('.')
for s in sentences:
if re.search(r'behav|role|function|activity|operat|working|capacity|chang|turn|render|alter|vary|differ|s... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,299 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/migrations/0010_auto_20170922_1449.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-22 14:49
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('PMRCT', '0009_auto_20170921_1717'),
]
operations = [
migrations.AlterField(... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,300 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/views.py | from django.shortcuts import render
from django.http import HttpResponse
from .models import TrainingData, Behavior, Change, Middle, Regex
import os
import json
import codecs
import re
import time
import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
from nltk import word_tokenize, sent_token... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,301 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/migrations/0009_auto_20170921_1717.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-09-21 17:17
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('PMRCT', '0008_auto_20170921_1657'),
]
operations = [
migrations.AlterModelOptions(
... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,302 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/apps.py | from django.apps import AppConfig
class PmrctConfig(AppConfig):
name = 'PMRCT'
| {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,303 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/main-GBM.py | import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import TruncatedSVD
from sklearn.preprocessing import LabelEncoder
from sklearn.ensemble import GradientBoostingClassifier
from sklea... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,304 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/main-GBL-with-tranalated.py | import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
# Any results you write to the current directory are saved as output.
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import TruncatedSVD
from sklearn.preprocessing import L... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,305 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/models.py | from django.db import models
from django.utils import timezone
class TrainingData(models.Model):
POS = 1
NEG = 0
UNK = 2
CLASS_CHOICES = (
(POS, 'pos'),
(NEG, 'neg'),
(UNK, 'unk'),
)
expression = models.CharField(max_length=300)
isBehavior = models.IntegerField(choic... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,306 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /NLP_task/PMRCT/admin.py | from django.contrib import admin
from .models import TrainingData, Behavior, Change, Middle, Regex
admin.site.register(TrainingData)
admin.site.register(Behavior)
admin.site.register(Change)
admin.site.register(Middle)
admin.site.register(Regex)
| {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,307 | anachanpapa/AI-NLP-engineer-trial | refs/heads/master | /scripts/OTHERS/filter-some-verbals-from-verval-pair.py | import re
f = open('../data/processed_data/verbal-pair.uniq', 'r')
ignore = open('../data/processed_data/verbal-pair.uniq.vocab.ignore', 'r')
ignore_list = []
for word in ignore:
word = word.replace('\n','')
word = word.strip()
ignore_list.append(word)
ignore_select = '|'.join(ignore_list)
for line in ... | {"/NLP_task/PMRCT/views.py": ["/NLP_task/PMRCT/models.py"], "/NLP_task/PMRCT/admin.py": ["/NLP_task/PMRCT/models.py"]} |
93,308 | dianaxime/Lab1-Filling-any-polygon | refs/heads/master | /gl.py | '''
Diana Ximena de León Figueroa
Carne 18607
Lab 1 Filling any polygon
Graficas por Computadora
21 de julio de 2020
'''
from lib import Render
bitmap = Render()
def glInit(self):
pass
def glCreateWindow(width, height):
bitmap.createWindow(width, height)
def glViewport(x, y, width, h... | {"/gl.py": ["/lib.py"], "/lib.py": ["/utils.py"]} |
93,309 | dianaxime/Lab1-Filling-any-polygon | refs/heads/master | /utils.py | '''
Diana Ximena de León Figueroa
Carne 18607
Lab 1 Filling any polygon
Graficas por Computadora
21 de julio de 2020
'''
import struct
def char(c):
return struct.pack('=c', c.encode('ascii'))
def word(c):
return struct.pack('=h', c)
def dword(c):
return struct.pack('=l', c)
def color... | {"/gl.py": ["/lib.py"], "/lib.py": ["/utils.py"]} |
93,310 | dianaxime/Lab1-Filling-any-polygon | refs/heads/master | /lib.py | '''
Diana Ximena de León Figueroa
Carne 18607
Lab 1 Filling any polygon
Graficas por Computadora
21 de julio de 2020
'''
from utils import color, char, word, dword
BLACK = color(0, 0, 0)
WHITE = color(255, 255, 255)
class Render(object):
def __init__(self):
self.framebuffer = []
... | {"/gl.py": ["/lib.py"], "/lib.py": ["/utils.py"]} |
93,311 | AileenLumina/ibsearch | refs/heads/master | /setup.py | from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
with open('README.md') as f:
long_description = f.read()
setup(
name='ibsearch',
version='0.9',
description='API wrapper for IbSearch.',
long_description=long_description,
url='https://... | {"/test.py": ["/ibsearch.py"]} |
93,312 | AileenLumina/ibsearch | refs/heads/master | /ibsearch.py | DOMAIN_REGULAR = 'ibsear.ch/'
DOMAIN_NSFW = 'ibsearch.xxx/'
IMAGES_PATH = 'api/v1/images.json'
import random
import asyncio
import io
from urllib.parse import urlencode, unquote
class NoResults(Exception):
pass
class UnexpectedResponseCode(Exception):
pass
class Image:
def __init__(self, loop, baseurl,... | {"/test.py": ["/ibsearch.py"]} |
93,313 | AileenLumina/ibsearch | refs/heads/master | /test.py | import asyncio
import ibsearch
TEST_KEY = "my_key"
test_query = input("enter a test query: ")
loop = asyncio.get_event_loop()
cl = ibsearch.IbSearch(TEST_KEY, loop=loop)
def test():
image1 = cl.get_random_image(test_query)
print(image1.url)
print(next(image1.get_image_bytes()).read())
@asyncio.coroutine
... | {"/test.py": ["/ibsearch.py"]} |
93,329 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/tests/suite.py | import unittest
from termtosvg.tests.test_anim import TestAnim
from termtosvg.tests.test_asciicast import TestAsciicast
from termtosvg.tests.test_config import TestConf
from termtosvg.tests.test_main import TestMain
from termtosvg.tests.test_term import TestTerm
| {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,330 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/tests/test_anim.py | import io
import itertools
import pkgutil
import tempfile
import unittest
from collections import namedtuple
import pyte.screens
from lxml import etree
from termtosvg import anim
from termtosvg import term
TEMPLATE = pkgutil.get_data('termtosvg', '/data/templates/gjm8.svg')
def line(i):
chars = []
for c i... | {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,331 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/asciicast.py | """asciicast records
This module provides functions and classes to manipulate asciicast records. Both v1 and v2
format are supported for decoding. For encoding, only the v2 format is available. The
specification of both formats are available here:
[1] https://github.com/asciinema/asciinema/blob/develop/doc/asciica... | {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,332 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/tests/test_config.py | import unittest
import termtosvg.config as config
class TestConf(unittest.TestCase):
def test_default_templates(self):
templates = config.default_templates()
| {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,333 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/main.py | """Command line interface of termtosvg"""
import argparse
import logging
import os
import shlex
import sys
import tempfile
import pkg_resources
import termtosvg.config
import termtosvg.anim
logger = logging.getLogger('termtosvg')
DEFAULT_LOOP_DELAY = 1000
USAGE = """termtosvg [output_path] [-c COMMAND] [-D DELAY] ... | {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,334 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/anim.py | import copy
import io
import os.path
import pkgutil
from collections import namedtuple
from itertools import groupby
import pyte.graphics
import pyte.screens
from lxml import etree
from wcwidth import wcswidth
# Ugliest hack: Replace the first 16 colors rgb values by their names so that
# termtosvg can distinguish FG... | {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,335 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/tests/test_asciicast.py | import unittest
from termtosvg.asciicast import AsciiCastV2Header, AsciiCastV2Event, AsciiCastV2Record, \
AsciiCastV2Theme, AsciiCastError, _read_v1_records
class TestAsciicast(unittest.TestCase):
def test_AsciiCastV2Theme(self):
def palette(n):
return ':'.join... | {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,336 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/config.py | import pkgutil
PKG_TEMPLATE_PATH = 'data/templates'
# Listing templates here is not ideal but importing pkg_resources to get resource_listdir
# does not seem worth it: it adds a dependency and slows down the invocation of termtosvg
# by 150ms ('time termtosvg --help' execution time goes from 200ms to 350ms)
DEFAULT_T... | {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,337 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/__main__.py | #!/usr/bin/env python3
import termtosvg.main
if __name__ == '__main__':
termtosvg.main.main()
| {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,338 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/term.py | """UNIX terminal recording functionalities
This module exposes functions for
- recording the output of a shell process in asciicast v2 format (`record`)
- producing frames (2D array of CharacterCell) from the raw output of
`record` (`timed_frames`)
A context manager named `TerminalMode` is also provided a... | {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,339 | zanzo420/termtosvg | refs/heads/develop | /termtosvg/tests/test_term.py | import itertools
import os
import time
import unittest
from unittest.mock import MagicMock, patch
import pyte
import termtosvg.anim as anim
from termtosvg import term
from termtosvg.asciicast import AsciiCastV2Event, AsciiCastV2Header, AsciiCastV2Theme
commands = [
'echo $SHELL && sleep 0.1;\r\n',
'date && s... | {"/termtosvg/tests/suite.py": ["/termtosvg/tests/test_anim.py", "/termtosvg/tests/test_asciicast.py", "/termtosvg/tests/test_config.py", "/termtosvg/tests/test_term.py"], "/termtosvg/tests/test_config.py": ["/termtosvg/config.py"], "/termtosvg/main.py": ["/termtosvg/config.py", "/termtosvg/anim.py", "/termtosvg/term.py... |
93,341 | nori266/a7x-lyrics-generation | refs/heads/main | /generate_lyrics.py | import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel, GPT2Config
tokenizer = GPT2Tokenizer.from_pretrained(
'gpt2',
bos_token='<|startoftext|>',
eos_token='<|endoftext|>',
pad_token='<|pad|>'
)
configuration = GPT2Config.from_pretrained('gpt2', output_hidden_states=False, vocab_size=5... | {"/bot.py": ["/generate_lyrics.py"]} |
93,342 | nori266/a7x-lyrics-generation | refs/heads/main | /bot.py | from os import environ
from dotenv import load_dotenv
import telebot
from generate_lyrics import generate_by_prompt
load_dotenv()
TOKEN = environ.get('TOKEN')
bot = telebot.TeleBot(TOKEN)
markup = telebot.types.ReplyKeyboardMarkup(resize_keyboard=True)
itembtn1 = telebot.types.KeyboardButton('Hail to the king')
it... | {"/bot.py": ["/generate_lyrics.py"]} |
93,407 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /data_utils.py | #import hickle as hkl
import numpy as np
from keras import backend as K
from keras.preprocessing.image import Iterator
# Data generator that creates sequences for input into PredNet.
class SequenceGenerator(Iterator):
def __init__(self, data_file, source_file, nt,
batch_size=8, shuffle=False, seed... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,408 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /trainer/MR_train.py | '''
Train PredNet on KITTI sequences. (Geiger et al. 2013, http://www.cvlibs.net/datasets/kitti/)
'''
import os
import numpy as np
np.random.seed(123)
from six.moves import cPickle
import argparse
from keras import backend as K
from keras.models import Model
from keras.layers import Input, Dense, Flatten, Reshape
fro... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,409 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /rnn_artifacts_v1.py | # Jordan Harrod
# Stanford Summer Research Program - Funded by Amgen Foundation
# Created July 3, 2017
# Last Updated July 7, 2017
# The purpose of this code is to create motion artifacts in MRI images
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import matplotlib as plot
import os, ... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,410 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /mr-learning-v2-conv.py | # Jordan Harrod
# Stanford Summer Research Program - Funded by Amgen Foundation
# Created July 11, 2017
# The purpose of this code is to create a neural network that performs binary classification on MRI images with and without motion artifacts
# Artifacts have been introduced into images using mr-artifacts-v1.py, im... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,411 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /mr-learning-v3.py | # Jordan Harrod
# Stanford Summer Research Program - Funded by Amgen Foundation
# Created July 11, 2017
# The purpose of this code is to create a neural network that performs binary classification on MRI images with and without motion artifacts
# Artifacts have been introduced into images using mr-artifacts-v1.py, im... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,412 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /MR_evaluate.py | '''
Evaluate trained PredNet on KITTI sequences.
Calculates mean-squared error and plots predictions.
'''
import os
import numpy as np
from six.moves import cPickle
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from keras import backend as K
from keras.... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,413 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /RNN-realtimeMR-v1.py | # Jordan Harrod
# Stanford Summer Research Program - Funded by Amgen Foundation
# Created July 11, 2017
# The purpose of this code is to create a neural network that performs binary classification on MRI images with and without motion artifacts
# Artifacts have been introduced into images using mr-artifacts-v1.py, im... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,414 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /MR_train.py | '''
Train PredNet on KITTI sequences. (Geiger et al. 2013, http://www.cvlibs.net/datasets/kitti/)
'''
import os
import numpy as np
np.random.seed(123)
from six.moves import cPickle
from keras import backend as K
from keras.models import Model
from keras.layers import Input, Dense, Flatten, Reshape
from keras.layers i... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,415 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /process_kitti_modified.py | '''
Code for downloading and processing KITTI data (Geiger et al. 2013, http://www.cvlibs.net/datasets/kitti/)
'''
import os
#from bs4 import BeautifulSoup
import urllib
import numpy as np
from scipy.misc import imread, imresize
import hickle as hkl
import PIL.Image
#from kitti_settings import *
pyth
#x_encode = [... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,416 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /trainer/MR_evaluate.py | '''
Evaluate trained PredNet on KITTI sequences.
Calculates mean-squared error and plots predictions.
'''
import os
import numpy as np
from six.moves import cPickle
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from keras import backend as K
from keras.... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,417 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /mr-artifacts-v1.py | # Jordan Harrod
# Stanford Summer Research Program - Funded by Amgen Foundation
# Created July 3, 2017
# Last Updated July 7, 2017
# The purpose of this code is to create motion artifacts in MRI images
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import matplotlib as plot
import os, ... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,418 | harrodjordan/PredictiveCodingMRImaging | refs/heads/master | /mr-learning-v1.py | er# Jordan Harrod
# Stanford Summer Research Program - Funded by Amgen Foundation
# Created July 4, 2017
# The purpose of this code is to create a neural network that performs binary classification on MRI images with and without motion artifacts
# Artifacts have been introduced into images using mr-artifacts-v1.py, i... | {"/trainer/MR_train.py": ["/data_utils.py", "/MR_evaluate.py"], "/MR_evaluate.py": ["/data_utils.py"], "/MR_train.py": ["/data_utils.py"], "/trainer/MR_evaluate.py": ["/data_utils.py"]} |
93,419 | rexs-io/blocksec2go-ethereum | refs/heads/master | /blocksec2go_ethereum/_utils.py | from typing import Tuple, Optional
import ecdsa
from eth_typing import ChecksumAddress
from web3 import Web3
from .exceptions import InvalidSignature
UnrecoverableSignature = Tuple[int, int]
def sigdecode_der(sig: bytes) -> UnrecoverableSignature:
return ecdsa.util.sigdecode_der(sig, 0)
def find_recovery_id(... | {"/blocksec2go_ethereum/_utils.py": ["/blocksec2go_ethereum/exceptions.py"], "/tests/test_utils.py": ["/blocksec2go_ethereum/_signer.py", "/blocksec2go_ethereum/_utils.py"], "/blocksec2go_ethereum/_signer.py": ["/blocksec2go_ethereum/__init__.py", "/blocksec2go_ethereum/exceptions.py"], "/examples/call_contract.py": ["... |
93,420 | rexs-io/blocksec2go-ethereum | refs/heads/master | /tests/test_utils.py | from blocksec2go_ethereum._signer import Signature
from blocksec2go_ethereum._utils import get_v, address_from_public_key, sigdecode_der
test_signature: Signature = (119, 13721599831162923456657927172105796262173750250904149654514422912453024879155,
6849172825415158877547000581141514992709... | {"/blocksec2go_ethereum/_utils.py": ["/blocksec2go_ethereum/exceptions.py"], "/tests/test_utils.py": ["/blocksec2go_ethereum/_signer.py", "/blocksec2go_ethereum/_utils.py"], "/blocksec2go_ethereum/_signer.py": ["/blocksec2go_ethereum/__init__.py", "/blocksec2go_ethereum/exceptions.py"], "/examples/call_contract.py": ["... |
93,421 | rexs-io/blocksec2go-ethereum | refs/heads/master | /setup.py | from setuptools import setup
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='blocksec2go-ethereum',
version='0.2.0',
description='Wrapper for blocksec2go allowing easy hardware-bas... | {"/blocksec2go_ethereum/_utils.py": ["/blocksec2go_ethereum/exceptions.py"], "/tests/test_utils.py": ["/blocksec2go_ethereum/_signer.py", "/blocksec2go_ethereum/_utils.py"], "/blocksec2go_ethereum/_signer.py": ["/blocksec2go_ethereum/__init__.py", "/blocksec2go_ethereum/exceptions.py"], "/examples/call_contract.py": ["... |
93,422 | rexs-io/blocksec2go-ethereum | refs/heads/master | /blocksec2go_ethereum/_signer.py | import logging
import time
from typing import Tuple, Optional
import blocksec2go
from blocksec2go.comm.pyscard import open_pyscard
from eth_account._utils.transactions import (
encode_transaction,
serializable_unsigned_transaction_from_dict
)
from eth_typing import ChecksumAddress, HexStr
from web3.types impor... | {"/blocksec2go_ethereum/_utils.py": ["/blocksec2go_ethereum/exceptions.py"], "/tests/test_utils.py": ["/blocksec2go_ethereum/_signer.py", "/blocksec2go_ethereum/_utils.py"], "/blocksec2go_ethereum/_signer.py": ["/blocksec2go_ethereum/__init__.py", "/blocksec2go_ethereum/exceptions.py"], "/examples/call_contract.py": ["... |
93,423 | rexs-io/blocksec2go-ethereum | refs/heads/master | /blocksec2go_ethereum/exceptions.py | class InvalidSignature(BaseException):
pass
class CardNotAvailable(BaseException):
pass
| {"/blocksec2go_ethereum/_utils.py": ["/blocksec2go_ethereum/exceptions.py"], "/tests/test_utils.py": ["/blocksec2go_ethereum/_signer.py", "/blocksec2go_ethereum/_utils.py"], "/blocksec2go_ethereum/_signer.py": ["/blocksec2go_ethereum/__init__.py", "/blocksec2go_ethereum/exceptions.py"], "/examples/call_contract.py": ["... |
93,424 | rexs-io/blocksec2go-ethereum | refs/heads/master | /examples/call_contract.py | import json
from blocksec2go_ethereum import Blocksec2GoSigner
from web3 import Web3
WEB3_ENDPOINT = 'YOUR_ENDPOINT_HERE'
web3 = Web3(Web3.HTTPProvider(WEB3_ENDPOINT))
chain_id = web3.eth.chainId
signer = Blocksec2GoSigner(chain_id=chain_id, key_id=1)
address = signer.get_address()
with open('artifact.json', 'r') ... | {"/blocksec2go_ethereum/_utils.py": ["/blocksec2go_ethereum/exceptions.py"], "/tests/test_utils.py": ["/blocksec2go_ethereum/_signer.py", "/blocksec2go_ethereum/_utils.py"], "/blocksec2go_ethereum/_signer.py": ["/blocksec2go_ethereum/__init__.py", "/blocksec2go_ethereum/exceptions.py"], "/examples/call_contract.py": ["... |
93,425 | rexs-io/blocksec2go-ethereum | refs/heads/master | /examples/send_ether.py | from blocksec2go_ethereum import Blocksec2GoSigner
from web3 import Web3
WEB3_ENDPOINT = 'YOUR_ENDPOINT_HERE'
web3 = Web3(Web3.HTTPProvider(WEB3_ENDPOINT))
chain_id = web3.eth.chainId
signer = Blocksec2GoSigner(chain_id=chain_id, key_id=1)
address = signer.get_address()
nonce = web3.eth.getTransactionCount(address)... | {"/blocksec2go_ethereum/_utils.py": ["/blocksec2go_ethereum/exceptions.py"], "/tests/test_utils.py": ["/blocksec2go_ethereum/_signer.py", "/blocksec2go_ethereum/_utils.py"], "/blocksec2go_ethereum/_signer.py": ["/blocksec2go_ethereum/__init__.py", "/blocksec2go_ethereum/exceptions.py"], "/examples/call_contract.py": ["... |
93,426 | rexs-io/blocksec2go-ethereum | refs/heads/master | /blocksec2go_ethereum/__init__.py | from ._signer import Blocksec2GoSigner # noqa F401
| {"/blocksec2go_ethereum/_utils.py": ["/blocksec2go_ethereum/exceptions.py"], "/tests/test_utils.py": ["/blocksec2go_ethereum/_signer.py", "/blocksec2go_ethereum/_utils.py"], "/blocksec2go_ethereum/_signer.py": ["/blocksec2go_ethereum/__init__.py", "/blocksec2go_ethereum/exceptions.py"], "/examples/call_contract.py": ["... |
93,438 | rihp/messenger-API | refs/heads/master | /src/config.py | import os
from dotenv import load_dotenv
from pymongo import MongoClient
# ======= dotenv
load_dotenv()
MA = os.getenv("MA")
MAU = os.getenv("MAU")
MSERVER= os.getenv("MSERVER")
PORT= os.getenv("PORT")
#DBURL = os.getenv("DBURL")
# ======= API
flask_api = 'http://localhost:5007'
github_profile="https://github... | {"/api.py": ["/src/config.py", "/src/mongohandler.py", "/src/html/pages.py"], "/src/mongohandler.py": ["/src/config.py"], "/src/recommender.py": ["/src/mongohandler.py"], "/src/html/pages.py": ["/src/config.py"]} |
93,439 | rihp/messenger-API | refs/heads/master | /api.py | from flask import Flask, request
from pymongo import MongoClient
from datetime import datetime
from src.config import *
from src.mongohandler import *
from src import recommender
from src.html.pages import *
import ast
import pandas as pd
import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer
nltk.... | {"/api.py": ["/src/config.py", "/src/mongohandler.py", "/src/html/pages.py"], "/src/mongohandler.py": ["/src/config.py"], "/src/recommender.py": ["/src/mongohandler.py"], "/src/html/pages.py": ["/src/config.py"]} |
93,440 | rihp/messenger-API | refs/heads/master | /src/mongohandler.py | import ast
from pymongo import MongoClient
from .config import *
#DBURL = 'mongodb://localhost:27017'
#client = MongoClient(DBURL)
#print(f"Connected to MongoClient at: {DBURL}")
#db = client.messenger
def no_spaces(string):
return string.replace(' ', '_')
def get_chat_id(chat_title):
# ♠ Optimization: Turn ... | {"/api.py": ["/src/config.py", "/src/mongohandler.py", "/src/html/pages.py"], "/src/mongohandler.py": ["/src/config.py"], "/src/recommender.py": ["/src/mongohandler.py"], "/src/html/pages.py": ["/src/config.py"]} |
93,441 | rihp/messenger-API | refs/heads/master | /src/recommender.py | from .mongohandler import *
import pandas as pd
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity as cosine_distances
from sklearn.metrics.pairwise import euclidean_distances as euclidean_dista... | {"/api.py": ["/src/config.py", "/src/mongohandler.py", "/src/html/pages.py"], "/src/mongohandler.py": ["/src/config.py"], "/src/recommender.py": ["/src/mongohandler.py"], "/src/html/pages.py": ["/src/config.py"]} |
93,442 | rihp/messenger-API | refs/heads/master | /src/html/pages.py | from ..config import github_profile, repo_url
NAVBAR=f"""<br> <a href="/">HOME</a> | <a href="{repo_url}">Checkout the Github Repo</a><br>"""
HEADER ="""\
<h1>Messenger API</h1>
<h3>Recommender System and Sentiment Analysis</h3>
"""+NAVBAR
FOOTER=f"<h3><br><br> A weekend project by <b><a href='{github_profile}'... | {"/api.py": ["/src/config.py", "/src/mongohandler.py", "/src/html/pages.py"], "/src/mongohandler.py": ["/src/config.py"], "/src/recommender.py": ["/src/mongohandler.py"], "/src/html/pages.py": ["/src/config.py"]} |
93,459 | Harikiranvuyyuru/PS4M | refs/heads/master | /engine/data/database/databaseConnection.py | import logging
from os import environ
import sys
from MySQLdb import connect, OperationalError
DATABASE_HOST = "localhost"
DATABASE_NAME = "PS4M"
DATABASE_PASSWORD = environ['DB_PASSWORD']
DATABASE_USER = "root"
__cursor__ = None
commit = None
rollback = None
def __init__():
global __cursor__, commit, rollback... | {"/crawler/updateItemTable.py": ["/engine/data/database/databaseConnection.py", "/engine/data/database/sourceTable.py"], "/admin/scripts/moveVotesToNonAggregatorSources.py": ["/engine/itemManager.py", "/engine/userManager.py", "/main.py"], "/engine/data/vote.py": ["/engine/itemManager.py"], "/engine/userManager.py": ["... |
93,460 | Harikiranvuyyuru/PS4M | refs/heads/master | /engine/analyzers/counter.py | class Counter(dict):
PRIMARY_DELIMITOR = ' '
def drop_entry(self, key, value):
return False
def parse_key(self, raw_key):
return raw_key
def deserialize(self, file_path):
file = open(file_path)
for line in file:
line = line.strip()
(count, raw_k... | {"/crawler/updateItemTable.py": ["/engine/data/database/databaseConnection.py", "/engine/data/database/sourceTable.py"], "/admin/scripts/moveVotesToNonAggregatorSources.py": ["/engine/itemManager.py", "/engine/userManager.py", "/main.py"], "/engine/data/vote.py": ["/engine/itemManager.py"], "/engine/userManager.py": ["... |
93,461 | Harikiranvuyyuru/PS4M | refs/heads/master | /crawler/updateItemTable.py | import logging
import os
import signal
import sys
from random import shuffle
from time import time, sleep
sys.path.append("..")
from crawler import crawl
from engine.data.database.databaseConnection import commit, rollback
from engine.data.database.sourceTable import getAllSources
def getLogger():
log = logging... | {"/crawler/updateItemTable.py": ["/engine/data/database/databaseConnection.py", "/engine/data/database/sourceTable.py"], "/admin/scripts/moveVotesToNonAggregatorSources.py": ["/engine/itemManager.py", "/engine/userManager.py", "/main.py"], "/engine/data/vote.py": ["/engine/itemManager.py"], "/engine/userManager.py": ["... |
93,462 | Harikiranvuyyuru/PS4M | refs/heads/master | /engine/data/url.py | import os
import re
import urlparse
class UrlParseError:
def __init__(self, errorStr):
self.errorStr = errorStr
regExStr = "(http|https|ftp)://(?:www.)?(.*?)(/|\?|$)"
regEx = re.compile(regExStr, re.IGNORECASE)
def extractDomain(url):
domain = None
regExResult = regEx.match(url)
if regExResu... | {"/crawler/updateItemTable.py": ["/engine/data/database/databaseConnection.py", "/engine/data/database/sourceTable.py"], "/admin/scripts/moveVotesToNonAggregatorSources.py": ["/engine/itemManager.py", "/engine/userManager.py", "/main.py"], "/engine/data/vote.py": ["/engine/itemManager.py"], "/engine/userManager.py": ["... |
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