index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
8,572 | rikenshah/Well-thy | refs/heads/master | /pyScripts/get_health_score.py | import csv
import json
import re
import os
maxHealthScore = 1000
featureWeights_dict={}
def initialize():
reader = csv.reader(open('pyScripts/feature_weights.csv'))
for row in reader:
value=[]
split_row= row[0].split('\t')
key=split_row[0]
value=split_row[1:]
featureWei... | {"/health/views.py": ["/health/models.py"]} |
8,573 | rikenshah/Well-thy | refs/heads/master | /pyScripts/score_prediction.py | Ins_Age,Ht,Wt,Individual_Rate,Individual Tobacco Rate,rate_diff,BMI,Response
# take all the inputs like Ht, Wt, Rate, Age
| {"/health/views.py": ["/health/models.py"]} |
8,574 | rikenshah/Well-thy | refs/heads/master | /pyScripts/base-for-health-score.py | import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import cross_val_score
from sklearn.linear_model import LinearRegression
from sklearn.ensemble import RandomForestRegressor
from sklearn.ensemble import GradientBoostingRegressor
#from sklearn.preprocessing import LabelEncod... | {"/health/views.py": ["/health/models.py"]} |
8,575 | rikenshah/Well-thy | refs/heads/master | /health/migrations/0004_auto_20180426_1547.py | # Generated by Django 2.0.1 on 2018-04-26 15:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('health', '0003_auto_20180426_1527'),
]
operations = [
migrations.AlterField(
model_name='healthprofile',
name='sleep... | {"/health/views.py": ["/health/models.py"]} |
8,576 | rikenshah/Well-thy | refs/heads/master | /health/migrations/0002_auto_20180414_0114.py | # Generated by Django 2.0.1 on 2018-04-14 01:14
from django.conf import settings
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('health', '0001_initial'),
]
operations = [
m... | {"/health/views.py": ["/health/models.py"]} |
8,577 | rikenshah/Well-thy | refs/heads/master | /health/views.py | from django.shortcuts import render
from .models import HealthProfile
from django.contrib.auth.decorators import login_required
from django.views.generic import TemplateView,ListView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.urls import reverse_lazy
from django.contrib.auth.mo... | {"/health/views.py": ["/health/models.py"]} |
8,578 | rikenshah/Well-thy | refs/heads/master | /health/urls.py | from django.urls import path
from . import views
from django.contrib.auth.decorators import login_required
app_name = 'lesson'
urlpatterns = [
# path('', views.index, name='index'),
path('profile',login_required(views.profile),name='health_profile'),
path('handle',login_required(views.handle_profile),name='ha... | {"/health/views.py": ["/health/models.py"]} |
8,630 | leying95/stereopy | refs/heads/main | /stereo/plots/_plot_basic/__init__.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Shixu He heshixu@genomics.cn
@last modified by: Shixu He
@file:__init__.py.py
@time:2021/03/15
"""
| {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,631 | leying95/stereopy | refs/heads/main | /stereo/log_manager.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:log_manager.py
@time:2021/03/05
"""
import logging
from .config import stereo_conf
class LogManager(object):
def __init__(self, log_path=None, level=None):
self.level_map = {'debug': loggi... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,632 | leying95/stereopy | refs/heads/main | /stereo/tools/neighbors.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:neighbors.py
@time:2021/03/23
"""
from scipy.sparse import coo_matrix
from sklearn.neighbors import NearestNeighbors
import igraph as ig
import numpy as np
from umap.umap_ import fuzzy_simplicial_set
c... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,633 | leying95/stereopy | refs/heads/main | /stereo/core/stereo_data.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:stereo_data.py
@time:2021/03/22
"""
class StereoData(object):
def __init__(self, raw_file=None, exp_matrix=None, genes=None, bins=None, position=None, partitions=1):
self.index = None
... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,634 | leying95/stereopy | refs/heads/main | /stereo/preprocess/qc.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:qc.py
@time:2021/03/26
"""
from scipy.sparse import issparse
import numpy as np
def cal_qc(andata):
exp_matrix = andata.X.toarray() if issparse(andata.X) else andata.X
total_count = exp_matrix.... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,635 | leying95/stereopy | refs/heads/main | /stereo/config.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:config.py
@time:2021/03/05
"""
from typing import Union, Optional
from pathlib import Path
import os
from matplotlib import rcParams, rcParamsDefault
class StereoConfig(object):
"""
config of s... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,636 | leying95/stereopy | refs/heads/main | /stereo/plots/plot_utils.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Shixu He heshixu@genomics.cn
@last modified by: Shixu He
@file:plot_utils.py
@time:2021/03/15
"""
from anndata import AnnData
import pandas as pd
import numpy as np
import math
from matplotlib.colors import Normalize, ListedColormap
from matplotlib import gridspec
... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,637 | leying95/stereopy | refs/heads/main | /stereo/tools/cluster.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:cluster.py
@time:2021/03/19
"""
import leidenalg as la
from sklearn.decomposition import PCA
from scipy.sparse import coo_matrix
from sklearn.neighbors import NearestNeighbors
import igraph as ig
import ... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,638 | leying95/stereopy | refs/heads/main | /stereo/plots/plots.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:plots.py
@time:2021/03/31
"""
from matplotlib.cm import get_cmap
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap, to_hex, Normalize
from matplotlib import gridspec
from ._plo... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,639 | leying95/stereopy | refs/heads/main | /stereo/utils/__init__.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:__init__.py.py
@time:2021/03/05
"""
import shutil
import os
from .correlation import pearson_corr, spearmanr_corr
from .data_helper import select_group
def remove_file(path):
if os.path.isfile(path... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,640 | leying95/stereopy | refs/heads/main | /stereo/utils/correlation.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:correlation.py
@time:2021/03/11
"""
import numpy as np
import pandas as pd
from scipy import stats
def pearson(arr1, arr2):
"""
calculate pearson correlation between two numpy arrays.
:para... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,641 | leying95/stereopy | refs/heads/main | /stereo/core/stereo_result.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:stereo_result.py
@time:2021/03/18
"""
from typing import Optional
import numpy as np
import pandas as pd
from ..log_manager import logger
class StereoResult(object):
def __init__(self, name: str = ... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,642 | leying95/stereopy | refs/heads/main | /stereo/core/__init__.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Ping Qiu qiuping1@genomics.cn
@last modified by: Ping Qiu
@file:__init__.py.py
@time:2021/03/17
"""
| {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,643 | leying95/stereopy | refs/heads/main | /stereo/plots/_plot_basic/heatmap_plt.py | #!/usr/bin/env python3
# coding: utf-8
"""
@author: Shixu He heshixu@genomics.cn
@last modified by: Shixu He
@file:heatmap_plt.py
@time:2021/03/15
"""
from matplotlib.cm import get_cmap
from matplotlib.axes import Axes
import matplotlib.pyplot as plt
from matplotlib.colors import Normalize
from matplotlib import grid... | {"/stereo/log_manager.py": ["/stereo/config.py"], "/stereo/plots/plot_utils.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/plots/plots.py": ["/stereo/plots/_plot_basic/heatmap_plt.py", "/stereo/log_manager.py"], "/stereo/utils/__init__.py": ["/stereo/utils/correlation.py"], "/ster... |
8,654 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /CropElectricityYeildSimulatorConstant.py | # -*- coding: utf-8 -*-
#######################################################
# author :Kensaku Okada [kensakuokada@email.arizona.edu]
# create date : 06 Nov 2016
# last edit date: 19 Apr 2017
#######################################################
##########import package files##########
import numpy as np
import m... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,655 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /OPVFilm.py | # -*- coding: utf-8 -*-
##########import package files##########
from scipy import stats
import sys
import datetime
import calendar
import os as os
import numpy as np
import matplotlib.pyplot as plt
import math
import CropElectricityYeildSimulatorConstant as constant
import Util as util
import ShadingCurtain
#########... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,656 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /CropElectricityYieldProfitMINLP.py | ##########import package files##########
from scipy import stats
import datetime
import sys
import os as os
import numpy as np
import matplotlib.pyplot as plt
import math
import CropElectricityYeildSimulatorConstant as constant
import Util as util
import OPVFilm
#import Lettuce
import CropElectricityYeildSimulatorDetai... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,657 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /PlantGrowthModelS_Pearson1997.py | # -*- coding: utf-8 -*-
##########import package files##########
import sys
import os as os
import numpy as np
import math
import CropElectricityYeildSimulatorConstant as constant
import Util as util
import PlantGrowthModelS_Pearson1997Constant as PearsonConstant
import Lettuce
########################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,658 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /GreenhouseEnergyBalanceConstant.py | # -*- coding: utf-8 -*-
#############command to print out all array data
# np.set_printoptions(threshold=np.inf)
# print ("directSolarRadiationToOPVWestDirection:{}".format(directSolarRadiationToOPVWestDirection))
# np.set_printoptions(threshold=1000)
#############
# ##################################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,659 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /Util.py | # -*- coding: utf-8 -*-
#######################################################
# author :Kensaku Okada [kensakuokada@email.arizona.edu]
# create date : 12 Dec 2016
# last edit date: 14 Dec 2016
#######################################################
##########import package files##########
from scipy import stats
imp... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,660 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /SolarIrradianceMultiSpanRoof.py | # -*- coding: utf-8 -*-
##########import package files##########
from scipy import stats
import sys
import datetime
import os as os
import numpy as np
import matplotlib.pyplot as plt
import math
import CropElectricityYeildSimulatorConstant as constant
import Util as util
###############################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,661 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /GreenhouseEnergyBalance.py | # -*- coding: utf-8 -*-
#############command to print out all array data
# np.set_printoptions(threshold=np.inf)
# print ("directSolarRadiationToOPVWestDirection:{}".format(directSolarRadiationToOPVWestDirection))
# np.set_printoptions(threshold=1000)
#############
# ##################################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,662 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /SimulatorMain.py | # -*- coding: utf-8 -*-
#######################################################
# author :Kensaku Okada [kensakuokada@email.arizona.edu]
# create date : 19 Dec 2017
# last edit date: 19 Dec 2017
######################################################
##########import package files##########
# from scipy import stats
im... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,663 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /CropElectricityYieldProfitRLShadingCurtain.py | ##########import package files##########
from scipy import stats
import datetime
import sys
import os as os
import numpy as np
import matplotlib.pyplot as plt
import math
import CropElectricityYeildSimulatorConstant as constant
import Util as util
import OPVFilm
#import Lettuce
import CropElectricityYeildSimulatorDetai... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,664 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /ShadingCurtain.py | # -*- coding: utf-8 -*-
#############command to print out all array data
# np.set_printoptions(threshold=np.inf)
# print ("directSolarRadiationToOPVWestDirection:{}".format(directSolarRadiationToOPVWestDirection))
# np.set_printoptions(threshold=1000)
#############
# ##################################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,665 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /PlantGrowthModelValidation.py | # -*- coding: utf-8 -*-
#######################################################
# author :Kensaku Okada [kensakuokada@email.arizona.edu]
# create date : 21 April 2018
#######################################################
# ##############################################################################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,666 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /CropElectricityYeildSimulator1.py | # -*- coding: utf-8 -*-
#############command to print out all array data
# np.set_printoptions(threshold=np.inf)
# print ("directSolarRadiationToOPVWestDirection:{}".format(directSolarRadiationToOPVWestDirection))
# np.set_printoptions(threshold=1000)
#############
# ##########################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,667 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /plantGrowthModelTestA_J_Both.py | import numpy as np
import matplotlib.pyplot as plt
import math
# dliList = np.array([40,40,40,40,40,40,40,40,40,40,
# 40,40,40,40,40,40,40,40,40,40,
# 40,40,40,40,40,40,40,40,40,40,
# 40,40,40,40,40,])
dliList = np.array([22,22,22,22,22,22,22,22,22,22,
... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,668 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /CropElectricityYeildSimulatorDetail.py | # -*- coding: utf-8 -*-
#######################################################
# author :Kensaku Okada [kensakuokada@email.arizona.edu]
# create date : 06 Nov 2016
# last edit date: 14 Dec 2016
#######################################################
##########import package files##########
from scipy import stats
imp... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,669 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /PlantGrowthModelE_J_VanHentenConstant.py | # -*- coding: utf-8 -*-
#######################################################
# author :Kensaku Okada [kensakuokada@email.arizona.edu]
# create date : 15 Jun 2017
# last edit date: 15 Jun 2017
#######################################################
# convert ratio of CO2 into SUgar (CH2O)
c_alpha = 30.0 / 44.0
# res... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,670 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /PlantGrowthModelS_Pearson1997Constant.py | # -*- coding: utf-8 -*-
##########import package files##########
from scipy import stats
import sys
import datetime
import os as os
import numpy as np
import matplotlib.pyplot as plt
import math
import CropElectricityYeildSimulatorConstant as constant
import Util
#######################################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,671 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /SimulatorClass.py | import CropElectricityYeildSimulatorConstant as constant
class SimulatorClass:
# constructor
def __init__(self):
self._OPVAreaCoverageRatio = constant.OPVAreaCoverageRatio
self._OPVCoverageRatioSummerPeriod = constant.OPVAreaCoverageRatioSummerPeriod
self._OPVCoverageRatiosConsiderSummerRatio = None
... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,672 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /Lettuce.py | # -*- coding: utf-8 -*-
#######################################################
# author :Kensaku Okada [kensakuokada@email.arizona.edu]
# create date : 12 Dec 2016
# last edit date: 14 Dec 2016
#######################################################
##########import package files##########
import os as os
import nump... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,673 | kensaku-okada/Greenhouse-with-OPV-film-Model | refs/heads/master | /plantGrowthModelE_J_VanHenten.py | # -*- coding: utf-8 -*-
#######################################################
# author :Kensaku Okada [kensakuokada@email.arizona.edu]
# create date : 15 Jun 2017
# last edit date: 15 Jun 2017
#######################################################
# ##################################################################... | {"/OPVFilm.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/ShadingCurtain.py"], "/CropElectricityYieldProfitMINLP.py": ["/CropElectricityYeildSimulatorConstant.py", "/Util.py", "/OPVFilm.py", "/CropElectricityYeildSimulatorDetail.py", "/SimulatorClass.py"], "/PlantGrowthModelS_Pearson1997.py": ["/CropE... |
8,678 | lopamd/FAQ-semantic-matching | refs/heads/master | /faq_config.py | import csv
import base_objects
import nlp_config
import sys
class FAQReader( object ):
"""Abstract class. Please implement fetch to return a list of QAPairs."""
def fetch( self ):
raise NotImplementedError("Class %s doesn't implement fetch()" % (self.__class__.__name__))
class CSVFAQReader( FA... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,679 | lopamd/FAQ-semantic-matching | refs/heads/master | /lesk.py | import nltk
from nltk.corpus import wordnet as wn
nltk.download('wordnet')
nltk.download('stopwords')
stops = set(nltk.corpus.stopwords.words('english'))
lemmatizer = nltk.stem.wordnet.WordNetLemmatizer()
def remove_lemma_and_stops(lemmas, lemma):
return {x for x in lemmas if x != lemma and x not in stops ... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,680 | lopamd/FAQ-semantic-matching | refs/heads/master | /part4tester.py | import better_objects as b
import faq_config
import random
import sys
import lesk
import nlp_config
import base_objects
from nltk.parse.stanford import StanfordDependencyParser
from nltk.corpus import wordnet_ic
import numpy as np
brown_ic = wordnet_ic.ic('ic-brown.dat')
'''test_questions = [
"When is ... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,681 | lopamd/FAQ-semantic-matching | refs/heads/master | /base_objects.py | class QAPair:
def __init__(self, question, answer):
self.question = question
self.answer = answer
def __str__(self):
return "Question: [%s] Answer: [%s]" % (self.question, self.answer)
class QAFeatureExtraction( object ):
'''qa_pairs is a list of QAPair object... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,682 | lopamd/FAQ-semantic-matching | refs/heads/master | /faq_nlp.py | import nltk_objects
import faq_config
import base_objects
import operator
from nlp_algo import BOWAlgorithm
from nlp_eval import MRREvaluation
from nlp_config import *
import better_objects as b
import part4tester as model
RESULTS_TOPN = 10
master_training = False
do_training = master_training
report_training = mas... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,683 | lopamd/FAQ-semantic-matching | refs/heads/master | /nlp_algo.py | from sklearn.metrics.pairwise import cosine_similarity
import numpy as np
from collections import defaultdict
class NLPAlgorithm:
def __init__(self, uquestion, qfeat, docfeat):
self.user_question = uquestion
#This will contain the qapair:score
self.scoreDict = defaultdict()
self.qaf... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,684 | lopamd/FAQ-semantic-matching | refs/heads/master | /better_objects.py | import nltk
import base_objects
import nltk_objects
from collections import Counter
import sklearn.metrics
import numpy as np
from nltk.corpus import wordnet as wn
from nltk.parse.dependencygraph import DependencyGraph
synset_folder = 'data/synsets/'
synset_filename_format = "%d_%s.txt" #%d is from 1 to 50, ... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,685 | lopamd/FAQ-semantic-matching | refs/heads/master | /nltk_objects.py | import base_objects
import nlp_config
import nltk
from collections import Counter
from nltk.parse.stanford import StanfordDependencyParser
from nltk.corpus import wordnet as wn
nltk.download('punkt')
nltk.download('wordnet')
nltk.download('stopwords')
nltk.download('averaged_perceptron_tagger')
dependency_parser = Sta... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,686 | lopamd/FAQ-semantic-matching | refs/heads/master | /serialize_synsets.py | import nltk_objects as no
import faq_config
import lesk
#shoutout to Avicii
#TODO: not sure if i need to remove stopwords before lemmatizing (ok, tokenizing does that)
# but i'm not sure if tokenizing should do that........
#TODO: some words (like In) may need to be lowercased
#TODO: maybe we should... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,687 | lopamd/FAQ-semantic-matching | refs/heads/master | /nlp_eval.py | import nltk_objects
import faq_config
import base_objects
import operator
from nlp_algo import BOWAlgorithm
from collections import defaultdict
import better_objects as b
import part4tester as model
TOPTEN_ANS = []
class Evaluation(object):
def __init__(self, algoType,fext):
self.scores = 0
self... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,688 | lopamd/FAQ-semantic-matching | refs/heads/master | /tester.py | import nltk_objects
import faq_config
faqs = faq_config.getFAQs()
feature_extractor = nltk_objects.NLTKFeatureExtraction(faqs)
for qatoken in feature_extractor.tokens:
print(qatoken)
for qatoken in feature_extractor.sentence_tokens:
print(qatoken)
for qabow in feature_extractor.bow:
print(qabow)
for qa... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,689 | lopamd/FAQ-semantic-matching | refs/heads/master | /nlp_config.py | import os
CONFIG_ALGO_BOW = 1
CONFIG_ALGO_NLP = 2
default_locale = 'english'
faq_input_file = 'input/Hummingbirds.csv'
evaluation_input_file = 'input/evaluationInput.csv'
path_to_stanford_lib = r'deps/stanford-corenlp-full-2018-02-27'
path_to_stanford_jar = path_to_stanford_lib + r'/stanford-corenlp-3.9.1.jar'
path_... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,690 | lopamd/FAQ-semantic-matching | refs/heads/master | /serialize_tests.py | import nltk_objects as no
import faq_config
sub_folder = 'data/depgraphs'
faqs = faq_config.getFAQs()
feature_extractor = no.NLTKFeatureExtraction(faqs)
def save_dependency_graphs(graphs, filename):
with open(filename, "w+") as outfile:
first = True
for graph in graphs:
if... | {"/faq_config.py": ["/base_objects.py", "/nlp_config.py"], "/part4tester.py": ["/better_objects.py", "/faq_config.py", "/lesk.py", "/nlp_config.py", "/base_objects.py"], "/faq_nlp.py": ["/nltk_objects.py", "/faq_config.py", "/base_objects.py", "/nlp_algo.py", "/nlp_eval.py", "/nlp_config.py", "/better_objects.py", "/pa... |
8,744 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/testCliqueTreeMaxSumCalibrate.py | from Factor import *
from PGMcommon import *
from CliqueTree import *
from CliqueTreeOperations import *
from FactorOperations import *
import scipy.io as sio
import numpy as np
import pprint
import pdb
matfile='/Users/amit/BC_Classes/PGM/Prog4/PA4Sample.mat'
mat_contents=sio.loadmat(matfile)
mat_struct=mat_contents['M... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,745 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/testMaxDecoding.py | from Factor import *
from PGMcommon import *
from CliqueTree import *
from CliqueTreeOperations import *
from FactorOperations import *
import scipy.io as sio
import numpy as np
import pprint
import pdb
matfile='/Users/amit/BC_Classes/PGM/Prog4/PA4Sample.mat'
mat_contents=sio.loadmat(matfile)
mat_struct=mat_contents['M... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,746 | indapa/pgmPy | refs/heads/master | /PGMcommon.py | #!/usr/bin/env python
from Factor import *
import numpy as np
from itertools import product
import sys
import itertools
def getUniqueVar( factorList):
""" given factorList which is a list of Factor objects
return a list of unique variables appearing in the
Factor objects. See http://stackoverflow.... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,747 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/testComputeExactMaxMarginalsBP.py | from Factor import *
from PGMcommon import *
from CliqueTree import *
from CliqueTreeOperations import *
from FactorOperations import *
import scipy.io as sio
import numpy as np
import pprint
import pdb
matfile='/Users/amit/BC_Classes/PGM/Prog4/PA4Sample.mat'
mat_contents=sio.loadmat(matfile)
mat_struct=mat_contents['M... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,748 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/testGetNextC.py | import scipy.io as sio
import numpy as np
import pprint
from Factor import *
from PGMcommon import *
from CliqueTree import *
from CliqueTreeOperations import *
from FactorOperations import *
import pickle
""" load the test data from the matlab file """
matfile='/Users/amit/BC_Classes/PGM/Prog4/PA4Sample.mat'
mat_con... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,749 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/testComputeExactMarginalsBP.py | from Factor import *
from PGMcommon import *
from CliqueTree import *
from CliqueTreeOperations import *
from FactorOperations import *
import scipy.io as sio
import numpy as np
import pprint
import pdb
matfile='/Users/amit/BC_Classes/PGM/Prog4/PA4Sample.mat'
mat_contents=sio.loadmat(matfile)
mat_struct=mat_contents['E... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,750 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/testComputeExactMarginalsBP_SixPersonPedigree.py | from Factor import *
from PGMcommon import *
from CliqueTree import *
from CliqueTreeOperations import *
from FactorOperations import *
import scipy.io as sio
import numpy as np
import pprint
import pdb
matfile='/Users/indapa/software/PGM/Prog4/PA4Sample.mat'
mat_contents=sio.loadmat(matfile)
mat_struct=mat_contents[... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,751 | indapa/pgmPy | refs/heads/master | /CliqueTree.py | from Factor import *
from FactorOperations import *
import numpy as np
import networkx as nx
import pdb
class CliqueTree(object):
'represent a Clique tree'
def __init__(self, nodeList=[], edges=[], factorList=[],evidence=[]):
self.nodeList=nodeList
self.edges=edges
self.factorList=fact... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,752 | indapa/pgmPy | refs/heads/master | /PedigreeFactors.py | import sys
import numpy as np
from Factor import *
from PGMcommon import *
from FactorOperations import *
import itertools
class PhenotypeFactor (object):
""" represents a factor that encodes Pr(phenotype|genotype)
for purposes here the variable to the left of the conditioning
bar is the first vari... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,753 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/testFactorMaxMarginal.py | from Factor import *
from PGMcommon import *
from CliqueTree import *
from CliqueTreeOperations import *
from FactorOperations import *
import scipy.io as sio
import numpy as np
import pprint
import pdb
matfile='/Users/amit/BC_Classes/PGM/Prog4/PA4Sample.mat'
mat_contents=sio.loadmat(matfile)
mat_struct=mat_contents['F... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,754 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/testCliqueTreeOperations.py | import sys
import numpy as np
from Factor import *
from PGMcommon import *
from PedigreeFactors import *
from FactorOperations import *
from GeneticNetworkFactory import *
from CliqueTree import *
import networkx as nx
import matplotlib.pyplot as plt
from CliqueTreeOperations import *
#to create a clique tree, we start... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,755 | indapa/pgmPy | refs/heads/master | /CliqueTreeOperations.py | import numpy as np
from CliqueTree import *
from FactorOperations import *
#import matplotlib.pyplot as plt
import networkx as nx
import pdb
def createCliqueTree( factorList,E=[]):
""" return a Clique Tree object given a list of factors
it peforms VE and returns the clique tree the VE
ordering defi... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,756 | indapa/pgmPy | refs/heads/master | /GeneticNetworkFactory.py | from Factor import *
from FactorOperations import *
from PedigreeFactors import *
import itertools
import numpy as np
"""" Still not sure how this is going to work
This class is a factory for generating a genetic network
If we consider each location in the genome independent
we generate a new network for... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,757 | indapa/pgmPy | refs/heads/master | /PythonNotebooks/ocr_MAP.py | from Factor import *
from PGMcommon import *
from CliqueTree import *
from CliqueTreeOperations import *
from FactorOperations import *
import scipy.io as sio
import numpy as np
import pprint
import pdb
import matplotlib.pyplot as plt
import networkx as nx
matfile='/Users/amit/BC_Classes/PGM/Prog4/PA4Sample.mat'
mat_co... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,758 | indapa/pgmPy | refs/heads/master | /Factor.py | import sys
import numpy as np
class Factor(object):
""" Represents a factor in a PGM. A factor has variable scope, cardinality, value, and potentially a name.
A factor's values (which can potentially be multi-dimensional table, are represented as NumPy 1d-arrays.
See Chapter10 Friedman pg. 358 and ... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,759 | indapa/pgmPy | refs/heads/master | /FactorOperations.py | #!/usr/bin/env python
from Factor import *
import numpy as np
from PGMcommon import *
import sys
import itertools
import common
import pdb
def IndexToAssignment( I, D):
""" given and index I (a row vector representing the indices of values a factor object's val field
and D, an array representing the cadin... | {"/PythonNotebooks/testCliqueTreeOperations.py": ["/Factor.py", "/PGMcommon.py", "/PedigreeFactors.py", "/FactorOperations.py", "/GeneticNetworkFactory.py", "/CliqueTree.py", "/CliqueTreeOperations.py"], "/CliqueTreeOperations.py": ["/CliqueTree.py", "/FactorOperations.py"], "/GeneticNetworkFactory.py": ["/Factor.py", ... |
8,790 | youilab/ShowGeoData | refs/heads/master | /prueba.py | import mapGeoData as mp
import pandas as pd
mapa = mp.set_data('SLP_mancha.shp')
slp = mp.read_shapefile(mapa)
y_lim = (22.00, 22.25)#latitude
x_lim = (-101.1, -100.83)#longitude
#Grafica el polígono 30 del mapa
#mp.plot_shape(30, mapa)
#Grafica el mapa dados los limites en X y Y
#mp.plot_map(mapa, x_lim, y_lim... | {"/prueba.py": ["/mapGeoData.py"], "/Densidad/densidad_pob.py": ["/mapGeoData.py"]} |
8,791 | youilab/ShowGeoData | refs/heads/master | /density.py | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.neighbors import KernelDensity
try:
from mpl_toolkits.basemap import Basemap
basemap = True
except ImportError:
basemap = False
df = pd.read_csv('cds_ssslp.data.csv')
# Filter SLP location data in
lat = df['lat']
long = ... | {"/prueba.py": ["/mapGeoData.py"], "/Densidad/densidad_pob.py": ["/mapGeoData.py"]} |
8,792 | youilab/ShowGeoData | refs/heads/master | /mapGeoData.py | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import shapefile as shp
import seaborn as sns
from shapely.geometry import Point, Polygon
def set_data(path):
'''
Returns a shapefile object
'''
return shp.Reader(path)
def read_shapefile(mapa):
"""
Read a shapefile into ... | {"/prueba.py": ["/mapGeoData.py"], "/Densidad/densidad_pob.py": ["/mapGeoData.py"]} |
8,793 | youilab/ShowGeoData | refs/heads/master | /Densidad/densidad_pob.py | import pandas as pd
import mapGeoData as mp
import numpy as np
from shapely.geometry import Point, Polygon
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from haversine import haversine, Unit
def get_heat_data(map, app_data):
k = 0
data = np.zeros(len(map))
for i in range(len(app_... | {"/prueba.py": ["/mapGeoData.py"], "/Densidad/densidad_pob.py": ["/mapGeoData.py"]} |
8,795 | techonomics69/Chatbot-with-booking | refs/heads/master | /timeslots/app/demo/v1/api/dentist_timeslots_did.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function
from flask import request, g, Response
from . import Resource
from .. import schemas
from flask import jsonify
import json
class DentistTimeslotsDid(Resource):
def get(self, did):
token = request.args.get('token')
... | {"/timeslots/app/demo/v1/routes.py": ["/timeslots/app/demo/v1/api/dentist_timeslots_did.py", "/timeslots/app/demo/v1/api/dentist_did_timeslot_tid_cancel.py"]} |
8,796 | techonomics69/Chatbot-with-booking | refs/heads/master | /timeslots/app/demo/v1/api/dentist_did_timeslot_tid_cancel.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function
from flask import request, g, Response
from . import Resource
from .. import schemas
from flask import jsonify
import json
class DentistDidTimeslotTidCancel(Resource):
def put(self, did, tid):
token = request.args.get('tok... | {"/timeslots/app/demo/v1/routes.py": ["/timeslots/app/demo/v1/api/dentist_timeslots_did.py", "/timeslots/app/demo/v1/api/dentist_did_timeslot_tid_cancel.py"]} |
8,797 | techonomics69/Chatbot-with-booking | refs/heads/master | /dentist/app/demo/v1/api/dentists.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function
from flask import request, g, Response
from . import Resource
from .. import schemas
from flask import jsonify
import requests
import json
class Dentists(Resource):
def get(self):
token = request.args.get('token')
... | {"/timeslots/app/demo/v1/routes.py": ["/timeslots/app/demo/v1/api/dentist_timeslots_did.py", "/timeslots/app/demo/v1/api/dentist_did_timeslot_tid_cancel.py"]} |
8,798 | techonomics69/Chatbot-with-booking | refs/heads/master | /dentist/app/demo/v1/api/dentist_info_did.py | # -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function
from flask import request, g, Response
from . import Resource
from .. import schemas
from flask import jsonify
import json
class DentistInfoDid(Resource):
def get(self, did):
token = request.args.get('token')
if (t... | {"/timeslots/app/demo/v1/routes.py": ["/timeslots/app/demo/v1/api/dentist_timeslots_did.py", "/timeslots/app/demo/v1/api/dentist_did_timeslot_tid_cancel.py"]} |
8,799 | techonomics69/Chatbot-with-booking | refs/heads/master | /timeslots/app/demo/v1/routes.py | # -*- coding: utf-8 -*-
###
### DO NOT CHANGE THIS FILE
###
### The code is auto generated, your change will be overwritten by
### code generating.
###
from __future__ import absolute_import
from .api.dentist_timeslots_did import DentistTimeslotsDid
from .api.dentist_did_timeslot_tid_cancel import DentistDidTimeslo... | {"/timeslots/app/demo/v1/routes.py": ["/timeslots/app/demo/v1/api/dentist_timeslots_did.py", "/timeslots/app/demo/v1/api/dentist_did_timeslot_tid_cancel.py"]} |
8,800 | techonomics69/Chatbot-with-booking | refs/heads/master | /dialogflow/dialogflow.py | import os
import sys
import dialogflow_v2 as dialogflow
from uuid import uuid4
sys.path.append("..")
# from conf.Response import IntentResponse
import requests
import json
from flask import make_response, jsonify, request, Flask, url_for
import os
import re
from flask_cors import CORS
import jwt
import datetime
from fu... | {"/timeslots/app/demo/v1/routes.py": ["/timeslots/app/demo/v1/api/dentist_timeslots_did.py", "/timeslots/app/demo/v1/api/dentist_did_timeslot_tid_cancel.py"]} |
8,803 | aidarbek/database_systems_project | refs/heads/master | /benchmark.py | import user
import time
import neo
import tweet
sum_neo = 0.0
sum_sql = 0.0
start_id = 1
end_id = 1001
n = (end_id - start_id) * 1.0
for i in range(start_id, end_id):
handle = "a" + str(i)
# Benchmark SQL
start_sql = time.clock()
data = tweet.get(handle = handle, page="feed", limit = 10000)
sql_time = time... | {"/benchmark.py": ["/user.py", "/neo.py", "/tweet.py"], "/fill.py": ["/user.py", "/neo.py", "/tweet.py"], "/user.py": ["/config.py"], "/app.py": ["/notification.py", "/user.py", "/tweet.py"], "/notification.py": ["/config.py"]} |
8,804 | aidarbek/database_systems_project | refs/heads/master | /tweet.py |
#!/usr/bin/python
import MySQLdb
import config
def isOwner(handle, tweet_id):
db = MySQLdb.connect(config.DB["host"], config.DB["user"], config.DB["password"], config.DB["db"])
cursor = db.cursor()
cursor.execute("SELECT Creator FROM tweet WHERE tweet_id={} AND Creator='{}'".format(tweet_id, handle))
result... | {"/benchmark.py": ["/user.py", "/neo.py", "/tweet.py"], "/fill.py": ["/user.py", "/neo.py", "/tweet.py"], "/user.py": ["/config.py"], "/app.py": ["/notification.py", "/user.py", "/tweet.py"], "/notification.py": ["/config.py"]} |
8,805 | aidarbek/database_systems_project | refs/heads/master | /fill.py | import user
import time
import neo
import tweet
sum_neo = 0.0
sum_sql = 0.0
start_id = 1
end_id = 1001
n = (end_id - start_id) * 1.0
for i in range(start_id, end_id):
handle = "a" + str(i)
# Benchmark SQL
start_sql = time.clock()
user.register(handle, handle, handle, handle, handle)
sql_time = time.clock()... | {"/benchmark.py": ["/user.py", "/neo.py", "/tweet.py"], "/fill.py": ["/user.py", "/neo.py", "/tweet.py"], "/user.py": ["/config.py"], "/app.py": ["/notification.py", "/user.py", "/tweet.py"], "/notification.py": ["/config.py"]} |
8,806 | aidarbek/database_systems_project | refs/heads/master | /config.py |
DB = {
"host": "localhost",
"user": "root",
"password": "",
"db": "db_course"
} | {"/benchmark.py": ["/user.py", "/neo.py", "/tweet.py"], "/fill.py": ["/user.py", "/neo.py", "/tweet.py"], "/user.py": ["/config.py"], "/app.py": ["/notification.py", "/user.py", "/tweet.py"], "/notification.py": ["/config.py"]} |
8,807 | aidarbek/database_systems_project | refs/heads/master | /user.py |
#!/usr/bin/python
import MySQLdb
import config
class User:
def __init__(self, login = None, password = None):
"""
Class constructor can become also authorization function
"""
self.handle = None
self.auth = False
if login != None:
if self.__exists(login):
self.handle = login
else:
self.h... | {"/benchmark.py": ["/user.py", "/neo.py", "/tweet.py"], "/fill.py": ["/user.py", "/neo.py", "/tweet.py"], "/user.py": ["/config.py"], "/app.py": ["/notification.py", "/user.py", "/tweet.py"], "/notification.py": ["/config.py"]} |
8,808 | aidarbek/database_systems_project | refs/heads/master | /neo.py | """
MATCH (a:User),(b:User)
WHERE a.handle = 'a1' AND b.handle = 'a2'
CREATE (a)-[r:FOLLOWS]->(b)
RETURN r
"""
query = """
MATCH (person {name: "Keanu Reeves"})-[:ACTED_IN]->(movie)<-[:ACTED_IN]-(guy)
RETURN person.name, guy.name, movie.title;
"""
from neo4j.v1 import GraphDatabase, basic_auth
driver = GraphDa... | {"/benchmark.py": ["/user.py", "/neo.py", "/tweet.py"], "/fill.py": ["/user.py", "/neo.py", "/tweet.py"], "/user.py": ["/config.py"], "/app.py": ["/notification.py", "/user.py", "/tweet.py"], "/notification.py": ["/config.py"]} |
8,809 | aidarbek/database_systems_project | refs/heads/master | /app.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
from flask import Flask, Response
from flask import request
from flask import abort, redirect, url_for
from flask import render_template
import os
import json
from flask import jsonify, send_from_directory
from flask.ext.cors import CORS, cross_origin
import notification
from w... | {"/benchmark.py": ["/user.py", "/neo.py", "/tweet.py"], "/fill.py": ["/user.py", "/neo.py", "/tweet.py"], "/user.py": ["/config.py"], "/app.py": ["/notification.py", "/user.py", "/tweet.py"], "/notification.py": ["/config.py"]} |
8,810 | aidarbek/database_systems_project | refs/heads/master | /notification.py | #!/usr/bin/python
import MySQLdb
import config
def get(handle):
db = MySQLdb.connect(config.DB["host"], config.DB["user"], config.DB["password"], config.DB["db"])
cursor = db.cursor()
cursor.execute("SELECT `id`, `content`, `url` FROM `notification` WHERE `handle`='{}' AND `read` = 0 LIMIT 10".format(handle))
... | {"/benchmark.py": ["/user.py", "/neo.py", "/tweet.py"], "/fill.py": ["/user.py", "/neo.py", "/tweet.py"], "/user.py": ["/config.py"], "/app.py": ["/notification.py", "/user.py", "/tweet.py"], "/notification.py": ["/config.py"]} |
8,817 | slavkoBV/Startups_scrapy | refs/heads/master | /startapps/items.py | import scrapy
class StartupItem(scrapy.Item):
company_name = scrapy.Field()
request_url = scrapy.Field()
request_company_url = scrapy.Field()
location = scrapy.Field()
tags = scrapy.Field()
founding_date = scrapy.Field()
founders = scrapy.Field()
employee_range = scrapy.Field()
ur... | {"/startapps/spiders/startup_spider.py": ["/startapps/items.py"]} |
8,818 | slavkoBV/Startups_scrapy | refs/heads/master | /startapps/pipelines.py | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
class StartappsPipeline(object):
def process_item(self, item, spider):
for key in item.keys():
if key... | {"/startapps/spiders/startup_spider.py": ["/startapps/items.py"]} |
8,819 | slavkoBV/Startups_scrapy | refs/heads/master | /startapps/spiders/startup_spider.py | import scrapy
import json
from scrapy import Selector
from ..items import StartupItem
class StartupSpider(scrapy.Spider):
name = 'startup'
allowed_domains = ['e27.co']
count = 0
COUNT_MAX = 500
def start_requests(self):
url = 'https://e27.co/startups'
for page in range(1, 33):
... | {"/startapps/spiders/startup_spider.py": ["/startapps/items.py"]} |
8,820 | ottonemo/pytorch-sru | refs/heads/master | /test.py | import torch
import numpy as np
from torch.autograd import Variable
from torch.nn.utils import rnn
from torchsru import SRU
def test():
batch_first = False
sru = SRU(4, 4,
batch_first=batch_first,
bidirectional=True,
use_sigmoid=False).cuda()
sru.reset_parameters... | {"/src/torchsru/__init__.py": ["/src/torchsru/model.py"]} |
8,821 | ottonemo/pytorch-sru | refs/heads/master | /src/torchsru/model.py | # Code copied and slightly modified from https://github.com/taolei87/sru
import pkg_resources
from collections import namedtuple
import torch
import torch.nn as nn
from torch.autograd import Function
from torch.autograd import Variable
import torch.nn.utils.rnn as R
from cupy.cuda import function
from pynvrtc.compile... | {"/src/torchsru/__init__.py": ["/src/torchsru/model.py"]} |
8,822 | ottonemo/pytorch-sru | refs/heads/master | /src/torchsru/__init__.py | from .model import SRU
from .model import SRUCell | {"/src/torchsru/__init__.py": ["/src/torchsru/model.py"]} |
8,839 | TestaVuota/COCO-Style-Dataset-Generator-GUI | refs/heads/master | /coco_dataset_generator/extras/cut_objects.py | import numpy as np
import sys
np.set_printoptions(threshold=sys.maxsize)
import matplotlib.pyplot as plt
from PIL import Image, ImageDraw
import json
from collections import defaultdict
import random
from matplotlib.path import Path
import argparse
import glob
import os
import time
#from skimage.measure import find_co... | {"/coco_dataset_generator/extras/cut_objects.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/gui/segment.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/extras/occlusion_transforms.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/utils/crea... |
8,840 | TestaVuota/COCO-Style-Dataset-Generator-GUI | refs/heads/master | /coco_dataset_generator/gui/contours.py | from skimage.measure import find_contours as FC
import numpy as np
from simplification.cutil import simplify_coords
def find_contours(*args):
contours = FC(*args)
simplified_contours = [np.array(simplify_coords(x, 1), dtype=np.int32) \
for x in contours]
retur... | {"/coco_dataset_generator/extras/cut_objects.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/gui/segment.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/extras/occlusion_transforms.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/utils/crea... |
8,841 | TestaVuota/COCO-Style-Dataset-Generator-GUI | refs/heads/master | /coco_dataset_generator/extras/move_dataset_to_single_folder.py | import argparse
import shutil
import json
import os
if __name__=='__main__':
ap = argparse.ArgumentParser()
ap.add_argument('dir', help='Path to folder to put all images in the dataset')
ap.add_argument('json', help='Path to folder to put all images in the dataset')
args = ap.parse_args()
wit... | {"/coco_dataset_generator/extras/cut_objects.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/gui/segment.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/extras/occlusion_transforms.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/utils/crea... |
8,842 | TestaVuota/COCO-Style-Dataset-Generator-GUI | refs/heads/master | /coco_dataset_generator/gui/segment.py | from matplotlib import pyplot as plt
from matplotlib.collections import PatchCollection
from matplotlib.patches import Polygon
from matplotlib.widgets import RadioButtons
from matplotlib.path import Path
from PIL import Image
import matplotlib
import argparse
import numpy as np
import glob
import os
from matplotlib.... | {"/coco_dataset_generator/extras/cut_objects.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/gui/segment.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/extras/occlusion_transforms.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/utils/crea... |
8,843 | TestaVuota/COCO-Style-Dataset-Generator-GUI | refs/heads/master | /coco_dataset_generator/extras/combine_json_files.py | '''
USAGE:
python combine_json_files.py <LIST OF FILES>
'''
import os
import json
import glob
import sys
import numpy as np
import argparse
import os
def cleanup_utf8(array):
arr = [x.encode('ascii', errors='ignore').decode('utf-8') for x in array]
return list(map(lambda x: x.strip().strip('\"').strip('\''), a... | {"/coco_dataset_generator/extras/cut_objects.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/gui/segment.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/extras/occlusion_transforms.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/utils/crea... |
8,844 | TestaVuota/COCO-Style-Dataset-Generator-GUI | refs/heads/master | /coco_dataset_generator/extras/occlusion_transforms.py | import numpy as np
import glob
import os
import argparse
import scipy.interpolate
import time
from shapely.geometry import Polygon
#from skimage.measure import find_contours
from ..gui.contours import find_contours
from PIL import Image, ImageDraw
class Occlusion_Generator(object):
def __init__(self, strip_widt... | {"/coco_dataset_generator/extras/cut_objects.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/gui/segment.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/extras/occlusion_transforms.py": ["/coco_dataset_generator/gui/contours.py"], "/coco_dataset_generator/utils/crea... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.