index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
28,294 | cmedanielle/ProgIIBST | refs/heads/master | /bst.py | class BST:
def __init__(self):
# inicializa uma árvore vazia
self.root = None
# verifica se a árvore está vazia ou não
def isEmpty(self):
return self.root is None
# if self.root == None:
# return True
# return False
# cria um nó de uma árvore genéric... | {"/bst_test.py": ["/bst.py"]} |
28,296 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/mutate.py | import click
import os
import random
from Bio import SeqIO
import numpy as np
def random_base(reference, amino):
if amino:
bases = {'A': 1, 'R': 2, 'N': 3, 'D': 4, 'C': 5, 'Q': 6, 'E': 7, 'G': 8, 'H': 9, 'I': 10,
'L': 11, 'K': 12, 'M': 13, 'F': 14, 'P': 15, 'S': 16, 'T': 17, 'W': 18, 'Y':... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,297 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/run_all_samples.py | import sys
import os
files = [i.split() for i in open(sys.argv[1])][1:]
outdir = sys.argv[3]
indir = sys.argv[2]
for sample,fastq1gz,fastq2gz in files:
fastq1 = ".".join(fastq1gz.split('.')[:-1])
fastq2 = ".".join(fastq2gz.split('.')[:-1])
print('processing sample: '+sample)
print('uncompressing files... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,298 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/fasta2len.py | import sys
from Bio import SeqIO
import click
@click.command()
@click.option('--fasta-file', required=True, help='fasta input file')
@click.option('--separator', default="|", help='header separator [default: "|" ]')
@click.option('--label', default=0, help='label position [default: 0 ]')
def fasta2len(fasta_file, se... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,299 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/metastorm/network.py | import click
import json
import logging
import pandas as pd
def get_scaffolds(path='', database='', sample_name='', scaffolds={}, evalue=1e-5, identity=80, bitscore=100):
data = pd.read_csv(path, sep="\t", names=['query', 'subject', 'identity', 'length',
'mismatch', '... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,300 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/fq2fa.py |
import sys
from Bio.SeqIO.QualityIO import FastqGeneralIterator
def retrieve(fi='', listf={}):
fo = open(fi.replace("fastq", "").replace("fq", "")+"fasta", "w")
for _id, seq, qual in FastqGeneralIterator(open(fi)):
header = _id.split(' ')[0]
read = '>%s\n%s' % (_id, seq)
fo.write(read... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,301 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/nanoarg/nanoarg.py | import click
from GeneTools.nanoarg.mapping_table import mapping_table
from GeneTools.nanoarg.network import network
@click.group()
def nanoarg():
'''
Tools for processing the JSON file from nanoARG.
'''
pass
nanoarg.add_command(mapping_table)
nanoarg.add_command(network)
| {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,302 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/nanoarg/network.py | import click
import json
import logging
import pandas as pd
from tqdm import tqdm
import sys
import networkx as nx
origins = {
1: 'ARGs',
2: 'MGEs',
4: 'MRGs',
3: 'Functional Genes'
}
pathogens = {
1352: 'Enterococcus faecium',
1280: 'Staphylococcus aureus',
573: 'Klebsiella pneumonia',
... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,303 | gaarangoa/genomic-scripts | refs/heads/master | /setup.py | from setuptools import setup, find_packages
setup(
name='GeneTools',
version='0.1',
packages=find_packages(),
include_package_data=True,
install_requires=[
'Click',
'BioPython',
'ete3',
'h5py',
'tqdm',
'pandas',
'networkx'
],
entry_poi... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,304 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/patric/subtract_genes.py | import click
from Bio import SeqIO
import json
import logging
def overlap(intervals):
sorted_by_lower_bound = sorted(intervals, key=lambda tup: tup[0])
merged = []
for higher in sorted_by_lower_bound:
if not merged:
merged.append(higher)
else:
lower = merged[-1]
... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,305 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/filterTaxa.py | import click
import os
import random
from Bio import SeqIO
import numpy as np
from ete3 import NCBITaxa
import logging
@click.command()
@click.option('--input-file', required=True, help='input file with read_id and taxa_id')
@click.option('--taxa', required=True, help='Filter all sequences that contain this taxa id (l... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,306 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/fasta2rand.py | import click
import os
import random
from Bio import SeqIO
import numpy as np
@click.command()
@click.option('--input-file', default='', help='input fasta file')
@click.option('--fr', default=0.2, help='fraction of sequences to get randomly (default: 0.2)')
def fasta2rand(input_file, fr):
'''
Retrieve random ... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,307 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/fasta2reads.py | import sys
import click
from Bio import SeqIO
import logging
import gzip
import json
import random
@click.command()
@click.option('--fasta', required=True, help='fasta input file')
@click.option('--read-length', default=100, help='length of the reads to generate')
@click.option('--min-sread', default=1, help='minimum... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,308 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/fasta2trainKmers.py | import sys
import click
from Bio import SeqIO
import logging
import gzip
import json
import re
import numpy as np
import os
def genearte_one_genome(genome='ATCGATATACCA', k=3):
_genome = genome
_sentence = split_genome(genome=_genome, k=k)
return _sentence
def split_genome(genome="ATCGATATACCA", k=3):... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,309 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/nanoarg/mapping_table.py | import click
import json
import logging
import pandas as pd
from tqdm import tqdm
import sys
origins = {
1:'ARGs',
2:'MGEs',
4:'MRGs',
3:'Functional Genes'
}
pathogens = {
1352: 'Enterococcus faecium',
1280: 'Staphylococcus aureus',
573: 'Klebsiella pneumonia',
470: 'Acinetobacter baum... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,310 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/filter_fastq.py | import click
from Bio import SeqIO
import logging
import gzip
@click.command()
@click.option('--qfile', required=True, help='fastq file')
@click.option('--qfilter', required=True, help='input tabular file with sequence ids')
@click.option('--outfile', required=True, help='Save fastq file to this filename')
@click.opti... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,311 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/FilterFastaLength.py | import click
import os
import random
from Bio import SeqIO
import numpy as np
@click.command()
@click.option('--input-file', default='', help='input fasta file')
@click.option('--minl', default=1000, help='Minimum length of sequences to keep (default: 1000)')
def FilterFastaLength(input_file, minl):
'''
Remov... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,312 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/fasta_subset.py | import sys
import click
from Bio import SeqIO
import logging
import gzip
import json
@click.command()
@click.option('--fasta', required=True, help='fasta input file')
@click.option('--entries', required=True, help='tabular file with entries')
def fasta_subset(fasta, entries):
'''
Search and retrieve sequence... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,313 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/taxa_file_to_table.py | import click
from Bio import SeqIO
import logging
import gzip
from ete3 import NCBITaxa
import pandas as pd
@click.command()
@click.option('--taxa-file', required=True, help='taxonomy files separated by comma')
@click.option('--sample-names', required=True, help='sample names separated by comma')
@click.option('--outp... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,314 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/split_fasta.py | import sys
import click
from Bio import SeqIO
import logging
import gzip
import json
import time
@click.command()
@click.option('--fasta', required=True, help='fasta input file')
@click.option('--outdir', required=True, help='output directory')
def split_fasta(fasta, outdir):
'''
Filter sequences from fasta f... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,315 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/deeparg_table.py | import click
from Bio import SeqIO
import logging
import gzip
from ete3 import NCBITaxa
import pandas as pd
@click.command()
@click.option('--deeparg-files', required=True, help='deeparg files separated by comma')
@click.option('--sample-names', required=True, help='sample names separated by comma')
@click.option('--o... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,316 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/patric/patric.py | import click
from GeneTools.patric.subtract_genes import subtract_genes
@click.group()
def patric():
'''
Tools for processing data from the PATRIC (https://www.patricbrc.org/) database.
Several scripts to postprocess the data from the PATRIC database.
'''
pass
patric.add_command(subtrac... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,317 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/entry.py | import click
from GeneTools.mutate import mutate
from GeneTools.patric.patric import patric
from GeneTools.metastorm.metastorm import metastorm
from GeneTools.fasta2rand import fasta2rand
from GeneTools.FilterFastaLength import FilterFastaLength
from GeneTools.filterTaxa import filter_taxa
from GeneTools.filter_fastq i... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,318 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/fasta2kmers.py | import sys
import click
from Bio import SeqIO
import logging
import gzip
import json
import re
import numpy as np
def split_genome(genome="ATCGATATACCA", k=3):
return re.findall('.'*k, genome)
def genearte_one_genome(genome='ATCGATATACCA', k=3):
_genome = genome
_sentence = split_genome(genome=_genome,... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,319 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/metastorm/metastorm.py | import click
from GeneTools.metastorm.network import network
@click.group()
def metastorm():
'''
Tools for processing data from the PATRIC (https://www.patricbrc.org/) database.
Several scripts to postprocess the data from the PATRIC database.
'''
pass
metastorm.add_command(network)
| {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,320 | gaarangoa/genomic-scripts | refs/heads/master | /GeneTools/fqsplit.py | import sys
from Bio.SeqIO.QualityIO import FastqGeneralIterator
def retrieve(fi='', listf={}):
fo1 = open(fi.replace("fastq", "").replace("fq","")+"R1.fq", "w")
fo2 = open(fi.replace("fastq", "").replace("fq","")+"R2.fq", "w")
for _id,seq,qual in FastqGeneralIterator(open(fi)):
header = _i... | {"/GeneTools/nanoarg/nanoarg.py": ["/GeneTools/nanoarg/mapping_table.py", "/GeneTools/nanoarg/network.py"], "/GeneTools/patric/patric.py": ["/GeneTools/patric/subtract_genes.py"], "/GeneTools/entry.py": ["/GeneTools/mutate.py", "/GeneTools/patric/patric.py", "/GeneTools/metastorm/metastorm.py", "/GeneTools/fasta2rand.p... |
28,323 | ryanjclark/text_similarity | refs/heads/master | /app/main.py | from fastapi import FastAPI
from app.routers import similarity
app = FastAPI()
app.include_router(similarity.router)
@app.get("/")
async def root():
return {"message": "hit this with POST at /text-similarity"}
| {"/app/routers/similarity.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/tests/test_levenshtein_service.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/app/services/levenshtein.py": ["/app/models/similar... |
28,324 | ryanjclark/text_similarity | refs/heads/master | /app/models/string_pair.py | from pydantic import BaseModel
class StringPair(BaseModel):
doc_1: str
doc_2: str
| {"/app/routers/similarity.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/tests/test_levenshtein_service.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/app/services/levenshtein.py": ["/app/models/similar... |
28,325 | ryanjclark/text_similarity | refs/heads/master | /app/routers/similarity.py | from fastapi import APIRouter
from ..models.similarity_score import SimilarityScore
from ..models.string_pair import StringPair
from ..services.levenshtein import LevenshteinService
router = APIRouter(prefix="/api/v1", tags=["levenshtein"])
@router.post("/text-similarity", response_model=SimilarityScore)
async def ... | {"/app/routers/similarity.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/tests/test_levenshtein_service.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/app/services/levenshtein.py": ["/app/models/similar... |
28,326 | ryanjclark/text_similarity | refs/heads/master | /tests/test_levenshtein_service.py | import os
import pytest
from app.models.similarity_score import SimilarityScore
from app.models.string_pair import StringPair
from app.services.levenshtein import LevenshteinService
samples = []
files = [os.path.join("samples", f) for f in os.listdir("samples")]
for file in files:
f = open(file)
sample = f.r... | {"/app/routers/similarity.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/tests/test_levenshtein_service.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/app/services/levenshtein.py": ["/app/models/similar... |
28,327 | ryanjclark/text_similarity | refs/heads/master | /app/utils/matrix.py | from typing import List
def create_matrix(rows: int, cols: int) -> List[List[float]]:
"""Takes two integers that define the dimensions of a matrix.
Returns a matrix of 0s."""
matrix = []
for i in range(rows):
arr = []
for i in range(cols):
arr.append(float(0))
matri... | {"/app/routers/similarity.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/tests/test_levenshtein_service.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/app/services/levenshtein.py": ["/app/models/similar... |
28,328 | ryanjclark/text_similarity | refs/heads/master | /app/services/levenshtein.py | from ..models.similarity_score import SimilarityScore
from ..models.string_pair import StringPair
from ..services.similarity import SimilarityService
from ..utils.matrix import create_matrix
class LevenshteinService(SimilarityService):
def __init__(self, pair: StringPair):
self.pair = pair
def _leven... | {"/app/routers/similarity.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/tests/test_levenshtein_service.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/app/services/levenshtein.py": ["/app/models/similar... |
28,329 | ryanjclark/text_similarity | refs/heads/master | /app/services/similarity.py | from ..models.similarity_score import SimilarityScore
class SimilarityService:
def __init__(self):
pass
def get_similarity_score(self) -> SimilarityScore:
pass
| {"/app/routers/similarity.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/tests/test_levenshtein_service.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/app/services/levenshtein.py": ["/app/models/similar... |
28,330 | ryanjclark/text_similarity | refs/heads/master | /app/models/similarity_score.py | from pydantic import BaseModel
class SimilarityScore(BaseModel):
score: float
| {"/app/routers/similarity.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/tests/test_levenshtein_service.py": ["/app/models/similarity_score.py", "/app/models/string_pair.py", "/app/services/levenshtein.py"], "/app/services/levenshtein.py": ["/app/models/similar... |
28,347 | sofianelounici/EasyTraffic | refs/heads/master | /Car.py | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 24 15:34:44 2018
@author: Sofiascope
Car contains the Car and CarPool class
"""
import time
import utils
import pandas as pd
import numpy as np
class Car:
""" Car class,
x : Segment number where the car is currently in
y : Position in segment where ... | {"/Car.py": ["/utils.py"], "/utils.py": ["/Car.py", "/Map.py"], "/Map.py": ["/utils.py"], "/main.py": ["/utils.py"]} |
28,348 | sofianelounici/EasyTraffic | refs/heads/master | /utils.py | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 24 15:34:44 2018
@author: Sofiascope
Utils contains a list of useful function
The most important one is updatePosition, where the position of cars is
updated
"""
import numpy as np
import time
import operator
import random
import pygame
from Car import Car, CarPool
fr... | {"/Car.py": ["/utils.py"], "/utils.py": ["/Car.py", "/Map.py"], "/Map.py": ["/utils.py"], "/main.py": ["/utils.py"]} |
28,349 | sofianelounici/EasyTraffic | refs/heads/master | /Map.py | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 24 15:34:44 2018
@author: Sofiascope
Map contains the Lane, Passing and Map classes
Map mostly manages the modification of the map
"""
import utils
class Lane:
""" Lane class, describing a lane
nb : Number of the lane
radius, numberVertices : geomtri... | {"/Car.py": ["/utils.py"], "/utils.py": ["/Car.py", "/Map.py"], "/Map.py": ["/utils.py"], "/main.py": ["/utils.py"]} |
28,350 | sofianelounici/EasyTraffic | refs/heads/master | /main.py | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 24 15:34:44 2018
@author: Sofiascope
"""
import pygame
import sys
from pygame.locals import QUIT
import numpy as np
import time
import utils
import random
pygame.init()
display_width = 1500
display_height = 800
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
RED = (227, 2... | {"/Car.py": ["/utils.py"], "/utils.py": ["/Car.py", "/Map.py"], "/Map.py": ["/utils.py"], "/main.py": ["/utils.py"]} |
28,377 | amirhoseinbidar/django-payir | refs/heads/master | /pay/models.py | from django.db import models
from django.conf import settings
import uuid
class TransactionBase(models.Model):
uuid_id = models.UUIDField(
primary_key=True, default=uuid.uuid4, editable=False, max_length=16)
user = models.ForeignKey(
settings.AUTH_USER_MODEL, on_delete=models.CASCADE, blank=Tru... | {"/pay/forms.py": ["/pay/settings.py"], "/pay/views.py": ["/pay/forms.py", "/pay/settings.py", "/pay/models.py"]} |
28,378 | amirhoseinbidar/django-payir | refs/heads/master | /pay/urls.py | from django.conf.urls import include, url
from . import views
app_name = 'pay'
urlpatterns = [
url(r'^form/processor/$',views.FormProcessorView.as_view() ,name = 'form_processor'),
url(r'^callback/$',views.CallBackView.as_view() , name = 'callback'),
] | {"/pay/forms.py": ["/pay/settings.py"], "/pay/views.py": ["/pay/forms.py", "/pay/settings.py", "/pay/models.py"]} |
28,379 | amirhoseinbidar/django-payir | refs/heads/master | /pay/forms.py | from django import forms
from .settings import PAY_DESCRIPTION_MAX_LENGTH, PAY_FORM_PROCESSOR, METHOD_FIELD_PREFIX
import copy
# method field do nothing it just add a prefix to name of a signal method for identifiction purpose
class MethodField(forms.CharField):
def __init__(self, signal_method_name, *args, **k... | {"/pay/forms.py": ["/pay/settings.py"], "/pay/views.py": ["/pay/forms.py", "/pay/settings.py", "/pay/models.py"]} |
28,380 | amirhoseinbidar/django-payir | refs/heads/master | /pay/migrations/0001_initial.py | # Generated by Django 2.2.1 on 2019-05-28 19:54
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='UserTransaction',
fields=[
('uu... | {"/pay/forms.py": ["/pay/settings.py"], "/pay/views.py": ["/pay/forms.py", "/pay/settings.py", "/pay/models.py"]} |
28,381 | amirhoseinbidar/django-payir | refs/heads/master | /pay/admin.py | from django.contrib import admin
from . import models
class UTAdmin(admin.ModelAdmin):
list_display = ('uuid_id','user','trans_id','factor_number' , 'card_number' , 'timestamp')
admin.site.register(models.UserTransaction , UTAdmin)
| {"/pay/forms.py": ["/pay/settings.py"], "/pay/views.py": ["/pay/forms.py", "/pay/settings.py", "/pay/models.py"]} |
28,382 | amirhoseinbidar/django-payir | refs/heads/master | /pay/views.py | from django.shortcuts import render, redirect, Http404
from django.views import generic
from django.utils.translation import gettext_lazy as _
from .forms import PayForm
from . import settings
from .settings import cache
from .models import UserTransaction
from django.core.exceptions import ImproperlyConfigured
from dj... | {"/pay/forms.py": ["/pay/settings.py"], "/pay/views.py": ["/pay/forms.py", "/pay/settings.py", "/pay/models.py"]} |
28,383 | amirhoseinbidar/django-payir | refs/heads/master | /pay/settings.py | # Django library.
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
from django.core.exceptions import ImproperlyConfigured
from django.urls import reverse
# Extra library
from cachetools import TTLCache
# CONTENT ----------------------------------------------------------
# ht... | {"/pay/forms.py": ["/pay/settings.py"], "/pay/views.py": ["/pay/forms.py", "/pay/settings.py", "/pay/models.py"]} |
28,423 | Lxhouse/CSS-Platform | refs/heads/master | /QuestionServer.py | # -*- encoding:utf-8 -*-
import hashlib
import json
from flask import Flask
from flask import make_response
from flask import redirect
from flask import render_template
from flask import request
from flask_cors import CORS
from flask import Flask, jsonify, request, render_template, send_from_directory, session
from ... | {"/QuestionServer.py": ["/db.py"]} |
28,424 | Lxhouse/CSS-Platform | refs/heads/master | /db.py | # encoding:utf-8 -*-
#!/usr/bin/python3
from pymongo import MongoClient
import hashlib
import sys
import datetime
host = "localhost"
# user = "root"
# password = "ls269031126"
database = "question"
con_list = "list"
charset = "utf8"
#连接数据库
def open():
# conn = MongoClient()
conn = MongoClient(host='mongodb:... | {"/QuestionServer.py": ["/db.py"]} |
28,425 | Lxhouse/CSS-Platform | refs/heads/master | /test.py | import pandas as pd
import os
base_path = 'datasets/xia4ngji1dui4jia1ojia4ozhu3nshu4ju4ji2-5d7154881afd9440006d2a54'
movies_dataset = pd.read_csv(os.path.join(base_path, 'movies.csv'))
tags_dataset = pd.read_csv(os.path.join(base_path, 'tags.csv'))
ratings_dataset = pd.read_csv(os.path.join(base_path, 'ratings.csv'))... | {"/QuestionServer.py": ["/db.py"]} |
28,426 | Lxhouse/CSS-Platform | refs/heads/master | /gunicorn_config.py | import gevent.monkey
gevent.monkey.patch_all()
import multiprocessing
import os
if not os.path.exists('log'):
os.mkdir('log')
debug = True
loglevel = 'debug'
bind = '127.0.0.1:8025'
timeout = 300
# pidfile = 'log/gunicorn.pid'
# errorlog = 'log/gunicorn_error.log'
# accesslog = 'log/gunicorn_access.log'
# 启动的进... | {"/QuestionServer.py": ["/db.py"]} |
28,427 | Lxhouse/CSS-Platform | refs/heads/master | /temp.py | @app.route('/get_mic_data', methods=['GET','POST'])
def MICvalue():
choice_user = request.get_json() # 获取前端用户选择的数据
flag = True
# data = request.get_json() #bytes
# print(data)
choice0 = {}
choice1 = {}
# choice[0]['db'] = data[0][db]
# choice[0]['col'] = data[0][col]
# choice[0]['fi... | {"/QuestionServer.py": ["/db.py"]} |
28,446 | lquresh52/student_data | refs/heads/master | /filter_student_data/apps.py | from django.apps import AppConfig
class FilterStudentDataConfig(AppConfig):
name = 'filter_student_data'
| {"/filter_student_data/views.py": ["/filter_student_data/models.py"]} |
28,447 | lquresh52/student_data | refs/heads/master | /filter_student_data/models.py | from django.db import models
# Create your models here.
class StudetData(models.Model):
name = models.CharField(max_length=300)
standard = models.IntegerField()
roll_no = models.IntegerField()
age = models.IntegerField()
mobile_no_p1 = models.BigIntegerField()
mobile_no_p2 = models.BigIntegerFi... | {"/filter_student_data/views.py": ["/filter_student_data/models.py"]} |
28,448 | lquresh52/student_data | refs/heads/master | /filter_student_data/views.py | from django.shortcuts import render,redirect
from .models import StudetData
# Create your views here.
info = None
def index(request):
if request.method == 'POST':
from_std = request.POST.get('from_std')
to_std = request.POST.get('to_std')
name = request.POST.get('name')
age = reque... | {"/filter_student_data/views.py": ["/filter_student_data/models.py"]} |
28,495 | huaifeng1993/Facenet_pytorch | refs/heads/master | /Config.py | class Config():
"""
The Configration of the FaceNet
"""
"""
embedding_size : The output of the size of feature.
num_classes : The number of classes of people.
margin : The margin of triplet loss.
"""
embedding_size = 128
num_classes = 54
mar... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,496 | huaifeng1993/Facenet_pytorch | refs/heads/master | /data2txt.py | import os
import numpy as np
def data2txt(DataPath,SavePath,split = 0.9):
dirs = os.listdir(DataPath)
data = []
for dir in dirs:
file_dirs = os.listdir(os.path.join(DataPath, dir))
for file_dir in file_dirs:
pics = os.listdir(os.path.join(DataPath, dir, file_dir))
p... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,497 | huaifeng1993/Facenet_pytorch | refs/heads/master | /ONNX_model.py | import numpy as np
import torch
import torch.nn as nn
from torchvision.models import resnet18
from torch.nn.modules.distance import PairwiseDistance
class FaceNetModel(nn.Module):
def __init__(self, embedding_size, pretrained=False):
super(FaceNetModel, self).__init__()
self.model = resnet18(pretr... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,498 | huaifeng1993/Facenet_pytorch | refs/heads/master | /engine_trt.py | import google.protobuf
from PIL import Image
import numpy as np
import time
from onnx_tensorrt.tensorrt_engine import Engine
import tensorrt as trt
import torchvision.transforms as transforms
from Config import Config
import os
import cv2
import torch
import matplotlib.pyplot as plt
def pil_loader(path):
with open(p... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,499 | huaifeng1993/Facenet_pytorch | refs/heads/master | /test.py | import torch
from Config import Config
from ONNX_model import FaceNetModel
# from face_model import FaceNetModel
from torchvision import transforms as T
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import cv2
import os
cfg = Config()
device = torch.device('cuda:0' if torch.cuda.is_available... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,500 | huaifeng1993/Facenet_pytorch | refs/heads/master | /engine_test.py | #!/usr/bin/python
from __future__ import division
from __future__ import print_function
import os
from random import randint
import numpy as np
import cv2
try:
from PIL import Image
except ImportError as err:
raise ImportError("""ERROR: Failed to import module ({})
Please make sure you have Pillow installed.
Fo... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,501 | huaifeng1993/Facenet_pytorch | refs/heads/master | /pytorch_to_onnx.py | # model_path = "/data/github_test/binary_classifier/torch_logs_2/net_params000.pkl"
model_path = '/data/Project/Detect/Facenet_pytorch/test_model/checkpoint_epoch220.pth'
import torch
import cv2
from torch import nn
from ONNX_model import FaceNetModel
from torch.autograd import Variable
def torch_to_onnx(model, mode... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,502 | huaifeng1993/Facenet_pytorch | refs/heads/master | /lr_scheduler.py | # -*- coding: utf-8 -*-
# @Time : 19-4-18 下午4:35
# @Author : Altair
# @FileName: w.py
# @Software: PyCharm
# @email : 641084377@qq.com
from torch.optim.lr_scheduler import _LRScheduler
import numpy as np
class GradualWarmupScheduler(_LRScheduler):
""" Gradually warm-up(increasing) learning rate in optimizer... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,503 | huaifeng1993/Facenet_pytorch | refs/heads/master | /train.py | # -*- coding: utf-8 -*-
# @Time : 19-4-18 下午4:35
# @Author : Altair
# @FileName: w.py
# @Software: PyCharm
# @email : 641084377@qq.com
import numpy as np
import argparse
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
from torch.nn.modules.distance import Pairwi... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,504 | huaifeng1993/Facenet_pytorch | refs/heads/master | /dataset.py | from torch.utils.data import Dataset
import os
from torchvision import transforms as T
from PIL import Image
from skimage import io
import numpy as np
import torch
class FaceDataset(Dataset):
def __init__(self,DataPath,DataType="train",img_size=30,transform = None):
assert DataType in ("train","val"),"Data ... | {"/engine_trt.py": ["/Config.py"], "/test.py": ["/Config.py", "/ONNX_model.py"], "/pytorch_to_onnx.py": ["/ONNX_model.py"], "/train.py": ["/dataset.py", "/Config.py", "/lr_scheduler.py"]} |
28,505 | aleMartin99/Deer_Professor | refs/heads/master | /utils.py | def transform_orders(orders):
return orders | {"/deer_proffesor.py": ["/utils.py"]} |
28,506 | aleMartin99/Deer_Professor | refs/heads/master | /deer_proffesor.py | """
This is a echo bot.
It echoes any incoming text messages.
"""
import aiogram.utils.markdown as md
from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from aio... | {"/deer_proffesor.py": ["/utils.py"]} |
28,508 | Mike-Polley/Live-Forex-Tracker | refs/heads/master | /gui.py | import matplotlib.animation as animation
from matplotlib import style
import reader as rd
import scraper as sc
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import tkinter as tk
import matplotlib.pyplot as plt
style.use('ggplot')
f = Figure (figsize=(5,4),dpi=100)... | {"/gui.py": ["/reader.py", "/scraper.py"]} |
28,509 | Mike-Polley/Live-Forex-Tracker | refs/heads/master | /scraper.py | import re
import requests
from bs4 import BeautifulSoup
import urllib
import json
class scraper:
def __init__(self):
self.session = requests.Session()
def scrapeWebsite(self,url):
response = self.session.get(url)
response_text = response.text
return response_text
def parserHTML(self,text):
par... | {"/gui.py": ["/reader.py", "/scraper.py"]} |
28,510 | Mike-Polley/Live-Forex-Tracker | refs/heads/master | /reader.py | import pandas as pd
import matplotlib.pyplot as plt
import time
from datetime import datetime, timedelta
class reader:
def __init__(self):
self.GBP_USD = []
self.USD_GBP = []
self.TIME = []
def readFile(self,json):
df = pd.read_json(json)
df = df[['GBP_USD','USD_GBP']]
df = df.iloc[0:1]
return df
d... | {"/gui.py": ["/reader.py", "/scraper.py"]} |
28,511 | Mike-Polley/Live-Forex-Tracker | refs/heads/master | /test.py | import pandas as pd
df = pd.read_json('data.json')
print(df[['GBP_USD']]) | {"/gui.py": ["/reader.py", "/scraper.py"]} |
28,516 | JoNowakowska/Tkinter-chat-app | refs/heads/master | /chat_app.py | import tkinter as tk
from tkinter import ttk
from frames import Chat
class Messenger(tk.Tk):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.geometry("1200x800")
self.minsize(100, 100)
self.columnconfigure(0, weight=1)
self.rowconfigur... | {"/chat_app.py": ["/frames/__init__.py"], "/frames/__init__.py": ["/frames/message_bubble.py"]} |
28,517 | JoNowakowska/Tkinter-chat-app | refs/heads/master | /frames/__init__.py | from frames.chat import Chat
from frames.message_bubble import MessageBubble | {"/chat_app.py": ["/frames/__init__.py"], "/frames/__init__.py": ["/frames/message_bubble.py"]} |
28,518 | JoNowakowska/Tkinter-chat-app | refs/heads/master | /frames/message_bubble.py | import tkinter as tk
from tkinter import ttk
import requests
import datetime
from PIL import Image, ImageTk
MAX_MESSAGE_WIDTH = 800
class MessageBubble(tk.Canvas):
def __init__(self, container, *args, **kwargs):
super().__init__(container, *args, **kwargs, highlightthickness = 0)
self... | {"/chat_app.py": ["/frames/__init__.py"], "/frames/__init__.py": ["/frames/message_bubble.py"]} |
28,519 | superyang713/harvest_automation | refs/heads/main | /harvest/harvest.py | """
Note:
1. Resume timer needs some improvement. When there are multiple
items, it does not know which task's time to start.
2. Login should use harvest build-in login method, not google SSO.
"""
import time
import logging
from datetime import date, datetime
from selenium import webdriver
from selenium.common.exce... | {"/harvest/__init__.py": ["/harvest/harvest.py"], "/example/submit_one_day_entries.py": ["/harvest/__init__.py"]} |
28,520 | superyang713/harvest_automation | refs/heads/main | /harvest/__init__.py | from .harvest import Harvest
__all__ = [
"Harvest",
]
| {"/harvest/__init__.py": ["/harvest/harvest.py"], "/example/submit_one_day_entries.py": ["/harvest/__init__.py"]} |
28,521 | superyang713/harvest_automation | refs/heads/main | /example/submit_one_day_entries.py | import time
from datetime import date
from harvest import Harvest
class Project:
INTERNAL = "Internal -- Project"
class Task:
CERTIFICATION = "2. Internal -- Certifications"
MEETING = "2. Internal -- Meeting"
RND = "2. Internal -- R&D"
TRAINING = "2. Internal -- Internal Training"
def main():... | {"/harvest/__init__.py": ["/harvest/harvest.py"], "/example/submit_one_day_entries.py": ["/harvest/__init__.py"]} |
28,524 | menly-ctrl/shop | refs/heads/master | /news/views.py | from django.shortcuts import render
from .models import Item
def index(request):
items_query = Item.objects.all()
items_list = []
for el in items_query:
tmp = []
tmp.append(el.image)
tmp.append(el.item_name)
tmp.append(el.item_description)
tmp.append(el.item_price)
... | {"/news/views.py": ["/news/models.py"], "/news/admin.py": ["/news/models.py"]} |
28,525 | menly-ctrl/shop | refs/heads/master | /news/models.py | from django.db import models
class Item(models.Model):
image = models.ImageField(upload_to="items/", verbose_name="Изображение")
item_name = models.CharField(max_length=255)
item_description = models.CharField(max_length=255)
item_price = models.IntegerField()
| {"/news/views.py": ["/news/models.py"], "/news/admin.py": ["/news/models.py"]} |
28,526 | menly-ctrl/shop | refs/heads/master | /news/admin.py | from django.contrib import admin
from .models import Item
@admin.register(Item)
class ItemsAdmin(admin.ModelAdmin):
pass
| {"/news/views.py": ["/news/models.py"], "/news/admin.py": ["/news/models.py"]} |
28,527 | hugosteixeira/microservices | refs/heads/master | /main.py | import uvicorn
from fastapi import FastAPI
from app.router import api_router
app = FastAPI(docs_url=None,redoc_url=None)
app.include_router(api_router, prefix="/v1")
if __name__ == "__main__":
uvicorn.run(app, host='0.0.0.0') | {"/main.py": ["/app/router.py"], "/app/geolocation/controller.py": ["/app/geolocation/services.py"], "/app/geolocation/routes.py": ["/app/geolocation/controller.py"], "/app/geolocation/services.py": ["/app/configs.py"]} |
28,528 | hugosteixeira/microservices | refs/heads/master | /manager.py | import os
import sys
class ModuleManager:
def createFolder(self, path):
try:
os.mkdir(path)
except OSError as err:
print('Folder already exists')
raise err
def createFiles(self, path):
try:
f = open(f'{path}/__init__.py', 'w')
... | {"/main.py": ["/app/router.py"], "/app/geolocation/controller.py": ["/app/geolocation/services.py"], "/app/geolocation/routes.py": ["/app/geolocation/controller.py"], "/app/geolocation/services.py": ["/app/configs.py"]} |
28,529 | hugosteixeira/microservices | refs/heads/master | /app/geolocation/controller.py | from .services import Service
class Controller:
service = Service()
def get_geolocation(self, request):
ip = request.client.host
return self.service.get_geolocation(ip) | {"/main.py": ["/app/router.py"], "/app/geolocation/controller.py": ["/app/geolocation/services.py"], "/app/geolocation/routes.py": ["/app/geolocation/controller.py"], "/app/geolocation/services.py": ["/app/configs.py"]} |
28,530 | hugosteixeira/microservices | refs/heads/master | /app/geolocation/routes.py | from fastapi import APIRouter
from .controller import Controller
from starlette.requests import Request
router = APIRouter()
controller = Controller()
@router.get("/")
def get(request: Request):
return controller.get_geolocation(request) | {"/main.py": ["/app/router.py"], "/app/geolocation/controller.py": ["/app/geolocation/services.py"], "/app/geolocation/routes.py": ["/app/geolocation/controller.py"], "/app/geolocation/services.py": ["/app/configs.py"]} |
28,531 | hugosteixeira/microservices | refs/heads/master | /app/configs.py | API_TOKEN = "e6753d5fc9bac4" | {"/main.py": ["/app/router.py"], "/app/geolocation/controller.py": ["/app/geolocation/services.py"], "/app/geolocation/routes.py": ["/app/geolocation/controller.py"], "/app/geolocation/services.py": ["/app/configs.py"]} |
28,532 | hugosteixeira/microservices | refs/heads/master | /app/router.py | from fastapi import APIRouter
from .geolocation import routes as geolocation
api_router = APIRouter()
api_router.include_router(geolocation.router, tags=["geolocation"], prefix="/geolocation") | {"/main.py": ["/app/router.py"], "/app/geolocation/controller.py": ["/app/geolocation/services.py"], "/app/geolocation/routes.py": ["/app/geolocation/controller.py"], "/app/geolocation/services.py": ["/app/configs.py"]} |
28,533 | hugosteixeira/microservices | refs/heads/master | /app/geolocation/services.py | from .models import GeolocationModel
import requests
from ..configs import API_TOKEN
class Service:
def get_geolocation(self, ip):
try:
address = f"https://ipinfo.io/{ip}/json?token={API_TOKEN}"
r = requests.get(address)
geolocation = GeolocationModel()
geo... | {"/main.py": ["/app/router.py"], "/app/geolocation/controller.py": ["/app/geolocation/services.py"], "/app/geolocation/routes.py": ["/app/geolocation/controller.py"], "/app/geolocation/services.py": ["/app/configs.py"]} |
28,550 | VladislavGordeyko/Qenetex.API | refs/heads/main | /database/schemas.py | from typing import List
from pydantic import BaseModel
import datetime
class AddressTransactionCreate(BaseModel):
address_id: str
class TransactionCreate(BaseModel):
id: str
value: float
addr_to_id: str
addr_from_id: str
class Transaction(BaseModel):
id: str
value: float
date: date... | {"/database/db.py": ["/config.py"], "/main.py": ["/database/db.py", "/utils.py"]} |
28,551 | VladislavGordeyko/Qenetex.API | refs/heads/main | /utils.py | import random
import secrets
from typing import List
# Generate Hex string with n bytes
def generate_hex(n_bytes: int):
return secrets.token_hex(n_bytes)
# Generate float number in min and max range
def generate_float(min_value: float = 0.01, max_value: float = 10000.0):
return random.uniform(min_value, max... | {"/database/db.py": ["/config.py"], "/main.py": ["/database/db.py", "/utils.py"]} |
28,552 | VladislavGordeyko/Qenetex.API | refs/heads/main | /database/repository.py | from sqlalchemy.orm import Session
from . import models, schemas
def get_address(db: Session, address_id: str):
return db.query(models.Address).filter(models.Address.id == address_id).first()
def get_addresses(db: Session, skip: int = 0, limit: int = 100):
return db.query(models.Address).offset(skip).limit(... | {"/database/db.py": ["/config.py"], "/main.py": ["/database/db.py", "/utils.py"]} |
28,553 | VladislavGordeyko/Qenetex.API | refs/heads/main | /config.py | from pydantic import BaseSettings
# Settings of project
class Settings(BaseSettings):
db_username: str
db_password: str
db_host: str
db_name: str
class Config:
env_file = ".env" | {"/database/db.py": ["/config.py"], "/main.py": ["/database/db.py", "/utils.py"]} |
28,554 | VladislavGordeyko/Qenetex.API | refs/heads/main | /database/db.py | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from config import Settings
settings = Settings()
SQLALCHEMY_DATABASE_URL = f'postgresql://{settings.db_username}:{settings.db_password}@' \
f'{settings.db_host}/{settings.db_name}'
engine = create_engine(SQLALCHE... | {"/database/db.py": ["/config.py"], "/main.py": ["/database/db.py", "/utils.py"]} |
28,555 | VladislavGordeyko/Qenetex.API | refs/heads/main | /database/models.py | import datetime
from sqlalchemy import Column, ForeignKey, String, DateTime, Float
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
# Transaction model
class Transaction(Base):
__tablename__ = "transaction"
id = Column(String, primary... | {"/database/db.py": ["/config.py"], "/main.py": ["/database/db.py", "/utils.py"]} |
28,556 | VladislavGordeyko/Qenetex.API | refs/heads/main | /main.py |
from typing import List
from fastapi import FastAPI, Depends, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from sqlalchemy.orm import Session
from database import repository, models, schemas
from database.db import SessionLocal, engine
from utils import generate_hex, generate_float, pick_random_el... | {"/database/db.py": ["/config.py"], "/main.py": ["/database/db.py", "/utils.py"]} |
28,569 | artursapek/tackboard.me | refs/heads/master | /urls.py | from django.conf.urls.defaults import patterns, include, url
from django.conf import settings
urlpatterns = patterns('',
url(r'^static/(?P<path>.*)$', 'django.views.static.serve',{'document_root':settings.STATIC_ROOT}),
url(r'^ajax/(?P<func>\w+)', 'main.views.ajax'),
url(r'^stats/?', 'main.views.stats'),
... | {"/main/views.py": ["/main/models.py"]} |
28,570 | artursapek/tackboard.me | refs/heads/master | /main/views.py | from django.http import HttpResponse
from django.http import HttpResponseRedirect
from django.shortcuts import render_to_response as render
from django.conf import settings
from django.template import RequestContext
from django.utils import simplejson
from main.models import *
import time
import datetime
import re
def... | {"/main/views.py": ["/main/models.py"]} |
28,571 | artursapek/tackboard.me | refs/heads/master | /main/models.py | from django.db import models
class Tackboard(models.Model):
def __unicode__(self):
return '%s tackboard with %s categories' % (self.name, len(self.categories.all()))
def set_default(self, new_default):
for c in self.categories.all():
if (c.name == new_default):
c.def... | {"/main/views.py": ["/main/models.py"]} |
28,572 | zhao-ji/elfin | refs/heads/master | /scripts/get_access_token.py | #!/usr/bin/env python
# coding: utf-8
import os
import sys
import time
import logging
import requests
import redis
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
from socrates.set import REDIS
GRANT_TYPE = 'client_credential'
APPID = 'wx16b6a22daa10d5c1'
SECRET = '37e8ff0... | {"/scripts/get_access_token.py": ["/socrates/set.py"], "/scripts/photo_send.py": ["/socrates/set.py", "/scripts/mongo_operate.py", "/scripts/session_get.py"], "/scripts/timeline_get.py": ["/scripts/timeline_operate.py", "/scripts/session_get.py", "/socrates/set.py"], "/handlers/userset.py": ["/socrates/set.py", "/scrip... |
28,573 | zhao-ji/elfin | refs/heads/master | /scripts/photo_send.py | # coding: utf-8
import pickle
import logging
import requests
from socrates import hanzi
from socrates.set import log
from scripts.mongo_operate import update_user
from scripts.session_get import get_session
def get_photo_stream(pic_url, msgid):
headers = {}
headers['User-Agent'] = 'Mozilla/5.0 (X11; Ub... | {"/scripts/get_access_token.py": ["/socrates/set.py"], "/scripts/photo_send.py": ["/socrates/set.py", "/scripts/mongo_operate.py", "/scripts/session_get.py"], "/scripts/timeline_get.py": ["/scripts/timeline_operate.py", "/scripts/session_get.py", "/socrates/set.py"], "/handlers/userset.py": ["/socrates/set.py", "/scrip... |
28,574 | zhao-ji/elfin | refs/heads/master | /scripts/timeline_get.py | # coding: utf-8
import pickle
import logging
import requests
from scripts.timeline_operate import timeline
from scripts.session_get import get_session
from socrates.set import open_line_url, time_line_url
def open_line():
open_line_ret = requests.get(url=open_line_url)
return timeline(open_line_ret.content)... | {"/scripts/get_access_token.py": ["/socrates/set.py"], "/scripts/photo_send.py": ["/socrates/set.py", "/scripts/mongo_operate.py", "/scripts/session_get.py"], "/scripts/timeline_get.py": ["/scripts/timeline_operate.py", "/scripts/session_get.py", "/socrates/set.py"], "/handlers/userset.py": ["/socrates/set.py", "/scrip... |
28,575 | zhao-ji/elfin | refs/heads/master | /handlers/userset.py | #!/usr/bin/env python
# coding: utf-8
import time
import logging
import tornado.web
from socrates import hanzi
from socrates.set import log
from scripts.talk_send import transmit
from scripts.mongo_operate import get_user_value, del_user, save_user
class userset(tornado.web.RequestHandler):
def get(self, wechat... | {"/scripts/get_access_token.py": ["/socrates/set.py"], "/scripts/photo_send.py": ["/socrates/set.py", "/scripts/mongo_operate.py", "/scripts/session_get.py"], "/scripts/timeline_get.py": ["/scripts/timeline_operate.py", "/scripts/session_get.py", "/socrates/set.py"], "/handlers/userset.py": ["/socrates/set.py", "/scrip... |
28,576 | zhao-ji/elfin | refs/heads/master | /scripts/simi.py | #!/usr/bin/env python
# coding:utf-8
import json
import requests
SIMI_URL = 'http://api.simsimi.com/request.p'
def simi(talk):
params = {}
params['key'] = 'b031132b-28ab-4769-b560-96ebddf70c1e'
params['lc'] = 'ch'
params['text'] = talk
r = requests.get(url=SIMI_URL, params=params)
respons =... | {"/scripts/get_access_token.py": ["/socrates/set.py"], "/scripts/photo_send.py": ["/socrates/set.py", "/scripts/mongo_operate.py", "/scripts/session_get.py"], "/scripts/timeline_get.py": ["/scripts/timeline_operate.py", "/scripts/session_get.py", "/socrates/set.py"], "/handlers/userset.py": ["/socrates/set.py", "/scrip... |
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