hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5d55803d49e090888d9f749552fe0472e67a0c13
| 24,623
|
bzl
|
Python
|
BUILD.generated.bzl
|
dennycd/boringSSL-SwiftPM
|
86eed8d1e3bfeb69e435c65671e739de9b28d256
|
[
"MIT"
] | 3
|
2020-10-07T14:20:19.000Z
|
2021-05-18T03:50:21.000Z
|
BUILD.generated.bzl
|
dennycd/boringSSL-SwiftPM
|
86eed8d1e3bfeb69e435c65671e739de9b28d256
|
[
"MIT"
] | 2
|
2021-06-08T15:39:38.000Z
|
2022-01-26T22:04:30.000Z
|
BUILD.generated.bzl
|
dennycd/boringSSL-SwiftPM
|
86eed8d1e3bfeb69e435c65671e739de9b28d256
|
[
"MIT"
] | 4
|
2021-02-19T09:48:47.000Z
|
2022-03-13T17:29:35.000Z
|
# This file is created by generate_build_files.py. Do not edit manually.
ssl_headers = [
"src/include/openssl/dtls1.h",
"src/include/openssl/srtp.h",
"src/include/openssl/ssl.h",
"src/include/openssl/ssl3.h",
"src/include/openssl/tls1.h",
]
fips_fragments = [
"src/crypto/fipsmodule/aes/aes.c",
"src/crypto/fipsmodule/aes/aes_nohw.c",
"src/crypto/fipsmodule/aes/key_wrap.c",
"src/crypto/fipsmodule/aes/mode_wrappers.c",
"src/crypto/fipsmodule/bn/add.c",
"src/crypto/fipsmodule/bn/asm/x86_64-gcc.c",
"src/crypto/fipsmodule/bn/bn.c",
"src/crypto/fipsmodule/bn/bytes.c",
"src/crypto/fipsmodule/bn/cmp.c",
"src/crypto/fipsmodule/bn/ctx.c",
"src/crypto/fipsmodule/bn/div.c",
"src/crypto/fipsmodule/bn/div_extra.c",
"src/crypto/fipsmodule/bn/exponentiation.c",
"src/crypto/fipsmodule/bn/gcd.c",
"src/crypto/fipsmodule/bn/gcd_extra.c",
"src/crypto/fipsmodule/bn/generic.c",
"src/crypto/fipsmodule/bn/jacobi.c",
"src/crypto/fipsmodule/bn/montgomery.c",
"src/crypto/fipsmodule/bn/montgomery_inv.c",
"src/crypto/fipsmodule/bn/mul.c",
"src/crypto/fipsmodule/bn/prime.c",
"src/crypto/fipsmodule/bn/random.c",
"src/crypto/fipsmodule/bn/rsaz_exp.c",
"src/crypto/fipsmodule/bn/shift.c",
"src/crypto/fipsmodule/bn/sqrt.c",
"src/crypto/fipsmodule/cipher/aead.c",
"src/crypto/fipsmodule/cipher/cipher.c",
"src/crypto/fipsmodule/cipher/e_aes.c",
"src/crypto/fipsmodule/cipher/e_des.c",
"src/crypto/fipsmodule/des/des.c",
"src/crypto/fipsmodule/digest/digest.c",
"src/crypto/fipsmodule/digest/digests.c",
"src/crypto/fipsmodule/ec/ec.c",
"src/crypto/fipsmodule/ec/ec_key.c",
"src/crypto/fipsmodule/ec/ec_montgomery.c",
"src/crypto/fipsmodule/ec/felem.c",
"src/crypto/fipsmodule/ec/oct.c",
"src/crypto/fipsmodule/ec/p224-64.c",
"src/crypto/fipsmodule/ec/p256-x86_64.c",
"src/crypto/fipsmodule/ec/scalar.c",
"src/crypto/fipsmodule/ec/simple.c",
"src/crypto/fipsmodule/ec/simple_mul.c",
"src/crypto/fipsmodule/ec/util.c",
"src/crypto/fipsmodule/ec/wnaf.c",
"src/crypto/fipsmodule/ecdh/ecdh.c",
"src/crypto/fipsmodule/ecdsa/ecdsa.c",
"src/crypto/fipsmodule/hmac/hmac.c",
"src/crypto/fipsmodule/md4/md4.c",
"src/crypto/fipsmodule/md5/md5.c",
"src/crypto/fipsmodule/modes/cbc.c",
"src/crypto/fipsmodule/modes/cfb.c",
"src/crypto/fipsmodule/modes/ctr.c",
"src/crypto/fipsmodule/modes/gcm.c",
"src/crypto/fipsmodule/modes/gcm_nohw.c",
"src/crypto/fipsmodule/modes/ofb.c",
"src/crypto/fipsmodule/modes/polyval.c",
"src/crypto/fipsmodule/rand/ctrdrbg.c",
"src/crypto/fipsmodule/rand/rand.c",
"src/crypto/fipsmodule/rand/urandom.c",
"src/crypto/fipsmodule/rsa/blinding.c",
"src/crypto/fipsmodule/rsa/padding.c",
"src/crypto/fipsmodule/rsa/rsa.c",
"src/crypto/fipsmodule/rsa/rsa_impl.c",
"src/crypto/fipsmodule/self_check/self_check.c",
"src/crypto/fipsmodule/sha/sha1-altivec.c",
"src/crypto/fipsmodule/sha/sha1.c",
"src/crypto/fipsmodule/sha/sha256.c",
"src/crypto/fipsmodule/sha/sha512.c",
"src/crypto/fipsmodule/tls/kdf.c",
"src/third_party/fiat/p256.c",
]
ssl_internal_headers = [
"src/ssl/internal.h",
]
ssl_sources = [
"src/ssl/bio_ssl.cc",
"src/ssl/d1_both.cc",
"src/ssl/d1_lib.cc",
"src/ssl/d1_pkt.cc",
"src/ssl/d1_srtp.cc",
"src/ssl/dtls_method.cc",
"src/ssl/dtls_record.cc",
"src/ssl/handoff.cc",
"src/ssl/handshake.cc",
"src/ssl/handshake_client.cc",
"src/ssl/handshake_server.cc",
"src/ssl/s3_both.cc",
"src/ssl/s3_lib.cc",
"src/ssl/s3_pkt.cc",
"src/ssl/ssl_aead_ctx.cc",
"src/ssl/ssl_asn1.cc",
"src/ssl/ssl_buffer.cc",
"src/ssl/ssl_cert.cc",
"src/ssl/ssl_cipher.cc",
"src/ssl/ssl_file.cc",
"src/ssl/ssl_key_share.cc",
"src/ssl/ssl_lib.cc",
"src/ssl/ssl_privkey.cc",
"src/ssl/ssl_session.cc",
"src/ssl/ssl_stat.cc",
"src/ssl/ssl_transcript.cc",
"src/ssl/ssl_versions.cc",
"src/ssl/ssl_x509.cc",
"src/ssl/t1_enc.cc",
"src/ssl/t1_lib.cc",
"src/ssl/tls13_both.cc",
"src/ssl/tls13_client.cc",
"src/ssl/tls13_enc.cc",
"src/ssl/tls13_server.cc",
"src/ssl/tls_method.cc",
"src/ssl/tls_record.cc",
]
crypto_headers = [
"src/include/openssl/aead.h",
"src/include/openssl/aes.h",
"src/include/openssl/arm_arch.h",
"src/include/openssl/asn1.h",
"src/include/openssl/asn1_mac.h",
"src/include/openssl/asn1t.h",
"src/include/openssl/base.h",
"src/include/openssl/base64.h",
"src/include/openssl/bio.h",
"src/include/openssl/blowfish.h",
"src/include/openssl/bn.h",
"src/include/openssl/buf.h",
"src/include/openssl/buffer.h",
"src/include/openssl/bytestring.h",
"src/include/openssl/cast.h",
"src/include/openssl/chacha.h",
"src/include/openssl/cipher.h",
"src/include/openssl/cmac.h",
"src/include/openssl/conf.h",
"src/include/openssl/cpu.h",
"src/include/openssl/crypto.h",
"src/include/openssl/curve25519.h",
"src/include/openssl/des.h",
"src/include/openssl/dh.h",
"src/include/openssl/digest.h",
"src/include/openssl/dsa.h",
"src/include/openssl/e_os2.h",
"src/include/openssl/ec.h",
"src/include/openssl/ec_key.h",
"src/include/openssl/ecdh.h",
"src/include/openssl/ecdsa.h",
"src/include/openssl/engine.h",
"src/include/openssl/err.h",
"src/include/openssl/evp.h",
"src/include/openssl/ex_data.h",
"src/include/openssl/hkdf.h",
"src/include/openssl/hmac.h",
"src/include/openssl/hrss.h",
"src/include/openssl/is_boringssl.h",
"src/include/openssl/lhash.h",
"src/include/openssl/md4.h",
"src/include/openssl/md5.h",
"src/include/openssl/mem.h",
"src/include/openssl/nid.h",
"src/include/openssl/obj.h",
"src/include/openssl/obj_mac.h",
"src/include/openssl/objects.h",
"src/include/openssl/opensslconf.h",
"src/include/openssl/opensslv.h",
"src/include/openssl/ossl_typ.h",
"src/include/openssl/pem.h",
"src/include/openssl/pkcs12.h",
"src/include/openssl/pkcs7.h",
"src/include/openssl/pkcs8.h",
"src/include/openssl/poly1305.h",
"src/include/openssl/pool.h",
"src/include/openssl/rand.h",
"src/include/openssl/rc4.h",
"src/include/openssl/ripemd.h",
"src/include/openssl/rsa.h",
"src/include/openssl/safestack.h",
"src/include/openssl/sha.h",
"src/include/openssl/siphash.h",
"src/include/openssl/span.h",
"src/include/openssl/stack.h",
"src/include/openssl/thread.h",
"src/include/openssl/type_check.h",
"src/include/openssl/x509.h",
"src/include/openssl/x509_vfy.h",
"src/include/openssl/x509v3.h",
]
crypto_internal_headers = [
"src/crypto/asn1/asn1_locl.h",
"src/crypto/bio/internal.h",
"src/crypto/bytestring/internal.h",
"src/crypto/chacha/internal.h",
"src/crypto/cipher_extra/internal.h",
"src/crypto/conf/conf_def.h",
"src/crypto/conf/internal.h",
"src/crypto/cpu-arm-linux.h",
"src/crypto/err/internal.h",
"src/crypto/evp/internal.h",
"src/crypto/fipsmodule/aes/internal.h",
"src/crypto/fipsmodule/bn/internal.h",
"src/crypto/fipsmodule/bn/rsaz_exp.h",
"src/crypto/fipsmodule/cipher/internal.h",
"src/crypto/fipsmodule/delocate.h",
"src/crypto/fipsmodule/des/internal.h",
"src/crypto/fipsmodule/digest/internal.h",
"src/crypto/fipsmodule/digest/md32_common.h",
"src/crypto/fipsmodule/ec/internal.h",
"src/crypto/fipsmodule/ec/p256-x86_64-table.h",
"src/crypto/fipsmodule/ec/p256-x86_64.h",
"src/crypto/fipsmodule/md5/internal.h",
"src/crypto/fipsmodule/modes/internal.h",
"src/crypto/fipsmodule/rand/internal.h",
"src/crypto/fipsmodule/rsa/internal.h",
"src/crypto/fipsmodule/sha/internal.h",
"src/crypto/fipsmodule/tls/internal.h",
"src/crypto/hrss/internal.h",
"src/crypto/internal.h",
"src/crypto/obj/obj_dat.h",
"src/crypto/pkcs7/internal.h",
"src/crypto/pkcs8/internal.h",
"src/crypto/poly1305/internal.h",
"src/crypto/pool/internal.h",
"src/crypto/x509/charmap.h",
"src/crypto/x509/internal.h",
"src/crypto/x509/vpm_int.h",
"src/crypto/x509v3/ext_dat.h",
"src/crypto/x509v3/internal.h",
"src/crypto/x509v3/pcy_int.h",
"src/third_party/fiat/curve25519_32.h",
"src/third_party/fiat/curve25519_64.h",
"src/third_party/fiat/curve25519_tables.h",
"src/third_party/fiat/internal.h",
"src/third_party/fiat/p256_32.h",
"src/third_party/fiat/p256_64.h",
]
crypto_sources = [
"err_data.c",
"src/crypto/asn1/a_bitstr.c",
"src/crypto/asn1/a_bool.c",
"src/crypto/asn1/a_d2i_fp.c",
"src/crypto/asn1/a_dup.c",
"src/crypto/asn1/a_enum.c",
"src/crypto/asn1/a_gentm.c",
"src/crypto/asn1/a_i2d_fp.c",
"src/crypto/asn1/a_int.c",
"src/crypto/asn1/a_mbstr.c",
"src/crypto/asn1/a_object.c",
"src/crypto/asn1/a_octet.c",
"src/crypto/asn1/a_print.c",
"src/crypto/asn1/a_strnid.c",
"src/crypto/asn1/a_time.c",
"src/crypto/asn1/a_type.c",
"src/crypto/asn1/a_utctm.c",
"src/crypto/asn1/a_utf8.c",
"src/crypto/asn1/asn1_lib.c",
"src/crypto/asn1/asn1_par.c",
"src/crypto/asn1/asn_pack.c",
"src/crypto/asn1/f_enum.c",
"src/crypto/asn1/f_int.c",
"src/crypto/asn1/f_string.c",
"src/crypto/asn1/tasn_dec.c",
"src/crypto/asn1/tasn_enc.c",
"src/crypto/asn1/tasn_fre.c",
"src/crypto/asn1/tasn_new.c",
"src/crypto/asn1/tasn_typ.c",
"src/crypto/asn1/tasn_utl.c",
"src/crypto/asn1/time_support.c",
"src/crypto/base64/base64.c",
"src/crypto/bio/bio.c",
"src/crypto/bio/bio_mem.c",
"src/crypto/bio/connect.c",
"src/crypto/bio/fd.c",
"src/crypto/bio/file.c",
"src/crypto/bio/hexdump.c",
"src/crypto/bio/pair.c",
"src/crypto/bio/printf.c",
"src/crypto/bio/socket.c",
"src/crypto/bio/socket_helper.c",
"src/crypto/bn_extra/bn_asn1.c",
"src/crypto/bn_extra/convert.c",
"src/crypto/buf/buf.c",
"src/crypto/bytestring/asn1_compat.c",
"src/crypto/bytestring/ber.c",
"src/crypto/bytestring/cbb.c",
"src/crypto/bytestring/cbs.c",
"src/crypto/bytestring/unicode.c",
"src/crypto/chacha/chacha.c",
"src/crypto/cipher_extra/cipher_extra.c",
"src/crypto/cipher_extra/derive_key.c",
"src/crypto/cipher_extra/e_aesccm.c",
"src/crypto/cipher_extra/e_aesctrhmac.c",
"src/crypto/cipher_extra/e_aesgcmsiv.c",
"src/crypto/cipher_extra/e_chacha20poly1305.c",
"src/crypto/cipher_extra/e_null.c",
"src/crypto/cipher_extra/e_rc2.c",
"src/crypto/cipher_extra/e_rc4.c",
"src/crypto/cipher_extra/e_tls.c",
"src/crypto/cipher_extra/tls_cbc.c",
"src/crypto/cmac/cmac.c",
"src/crypto/conf/conf.c",
"src/crypto/cpu-aarch64-fuchsia.c",
"src/crypto/cpu-aarch64-linux.c",
"src/crypto/cpu-arm-linux.c",
"src/crypto/cpu-arm.c",
"src/crypto/cpu-intel.c",
"src/crypto/cpu-ppc64le.c",
"src/crypto/crypto.c",
"src/crypto/curve25519/spake25519.c",
"src/crypto/dh/check.c",
"src/crypto/dh/dh.c",
"src/crypto/dh/dh_asn1.c",
"src/crypto/dh/params.c",
"src/crypto/digest_extra/digest_extra.c",
"src/crypto/dsa/dsa.c",
"src/crypto/dsa/dsa_asn1.c",
"src/crypto/ec_extra/ec_asn1.c",
"src/crypto/ec_extra/ec_derive.c",
"src/crypto/ecdh_extra/ecdh_extra.c",
"src/crypto/ecdsa_extra/ecdsa_asn1.c",
"src/crypto/engine/engine.c",
"src/crypto/err/err.c",
"src/crypto/evp/digestsign.c",
"src/crypto/evp/evp.c",
"src/crypto/evp/evp_asn1.c",
"src/crypto/evp/evp_ctx.c",
"src/crypto/evp/p_dsa_asn1.c",
"src/crypto/evp/p_ec.c",
"src/crypto/evp/p_ec_asn1.c",
"src/crypto/evp/p_ed25519.c",
"src/crypto/evp/p_ed25519_asn1.c",
"src/crypto/evp/p_rsa.c",
"src/crypto/evp/p_rsa_asn1.c",
"src/crypto/evp/p_x25519.c",
"src/crypto/evp/p_x25519_asn1.c",
"src/crypto/evp/pbkdf.c",
"src/crypto/evp/print.c",
"src/crypto/evp/scrypt.c",
"src/crypto/evp/sign.c",
"src/crypto/ex_data.c",
"src/crypto/fipsmodule/bcm.c",
"src/crypto/fipsmodule/fips_shared_support.c",
"src/crypto/fipsmodule/is_fips.c",
"src/crypto/hkdf/hkdf.c",
"src/crypto/hrss/hrss.c",
"src/crypto/lhash/lhash.c",
"src/crypto/mem.c",
"src/crypto/obj/obj.c",
"src/crypto/obj/obj_xref.c",
"src/crypto/pem/pem_all.c",
"src/crypto/pem/pem_info.c",
"src/crypto/pem/pem_lib.c",
"src/crypto/pem/pem_oth.c",
"src/crypto/pem/pem_pk8.c",
"src/crypto/pem/pem_pkey.c",
"src/crypto/pem/pem_x509.c",
"src/crypto/pem/pem_xaux.c",
"src/crypto/pkcs7/pkcs7.c",
"src/crypto/pkcs7/pkcs7_x509.c",
"src/crypto/pkcs8/p5_pbev2.c",
"src/crypto/pkcs8/pkcs8.c",
"src/crypto/pkcs8/pkcs8_x509.c",
"src/crypto/poly1305/poly1305.c",
"src/crypto/poly1305/poly1305_arm.c",
"src/crypto/poly1305/poly1305_vec.c",
"src/crypto/pool/pool.c",
"src/crypto/rand_extra/deterministic.c",
"src/crypto/rand_extra/forkunsafe.c",
"src/crypto/rand_extra/fuchsia.c",
"src/crypto/rand_extra/rand_extra.c",
"src/crypto/rand_extra/windows.c",
"src/crypto/rc4/rc4.c",
"src/crypto/refcount_c11.c",
"src/crypto/refcount_lock.c",
"src/crypto/rsa_extra/rsa_asn1.c",
"src/crypto/rsa_extra/rsa_print.c",
"src/crypto/siphash/siphash.c",
"src/crypto/stack/stack.c",
"src/crypto/thread.c",
"src/crypto/thread_none.c",
"src/crypto/thread_pthread.c",
"src/crypto/thread_win.c",
"src/crypto/x509/a_digest.c",
"src/crypto/x509/a_sign.c",
"src/crypto/x509/a_strex.c",
"src/crypto/x509/a_verify.c",
"src/crypto/x509/algorithm.c",
"src/crypto/x509/asn1_gen.c",
"src/crypto/x509/by_dir.c",
"src/crypto/x509/by_file.c",
"src/crypto/x509/i2d_pr.c",
"src/crypto/x509/rsa_pss.c",
"src/crypto/x509/t_crl.c",
"src/crypto/x509/t_req.c",
"src/crypto/x509/t_x509.c",
"src/crypto/x509/t_x509a.c",
"src/crypto/x509/x509.c",
"src/crypto/x509/x509_att.c",
"src/crypto/x509/x509_cmp.c",
"src/crypto/x509/x509_d2.c",
"src/crypto/x509/x509_def.c",
"src/crypto/x509/x509_ext.c",
"src/crypto/x509/x509_lu.c",
"src/crypto/x509/x509_obj.c",
"src/crypto/x509/x509_r2x.c",
"src/crypto/x509/x509_req.c",
"src/crypto/x509/x509_set.c",
"src/crypto/x509/x509_trs.c",
"src/crypto/x509/x509_txt.c",
"src/crypto/x509/x509_v3.c",
"src/crypto/x509/x509_vfy.c",
"src/crypto/x509/x509_vpm.c",
"src/crypto/x509/x509cset.c",
"src/crypto/x509/x509name.c",
"src/crypto/x509/x509rset.c",
"src/crypto/x509/x509spki.c",
"src/crypto/x509/x_algor.c",
"src/crypto/x509/x_all.c",
"src/crypto/x509/x_attrib.c",
"src/crypto/x509/x_crl.c",
"src/crypto/x509/x_exten.c",
"src/crypto/x509/x_info.c",
"src/crypto/x509/x_name.c",
"src/crypto/x509/x_pkey.c",
"src/crypto/x509/x_pubkey.c",
"src/crypto/x509/x_req.c",
"src/crypto/x509/x_sig.c",
"src/crypto/x509/x_spki.c",
"src/crypto/x509/x_val.c",
"src/crypto/x509/x_x509.c",
"src/crypto/x509/x_x509a.c",
"src/crypto/x509v3/pcy_cache.c",
"src/crypto/x509v3/pcy_data.c",
"src/crypto/x509v3/pcy_lib.c",
"src/crypto/x509v3/pcy_map.c",
"src/crypto/x509v3/pcy_node.c",
"src/crypto/x509v3/pcy_tree.c",
"src/crypto/x509v3/v3_akey.c",
"src/crypto/x509v3/v3_akeya.c",
"src/crypto/x509v3/v3_alt.c",
"src/crypto/x509v3/v3_bcons.c",
"src/crypto/x509v3/v3_bitst.c",
"src/crypto/x509v3/v3_conf.c",
"src/crypto/x509v3/v3_cpols.c",
"src/crypto/x509v3/v3_crld.c",
"src/crypto/x509v3/v3_enum.c",
"src/crypto/x509v3/v3_extku.c",
"src/crypto/x509v3/v3_genn.c",
"src/crypto/x509v3/v3_ia5.c",
"src/crypto/x509v3/v3_info.c",
"src/crypto/x509v3/v3_int.c",
"src/crypto/x509v3/v3_lib.c",
"src/crypto/x509v3/v3_ncons.c",
"src/crypto/x509v3/v3_ocsp.c",
"src/crypto/x509v3/v3_pci.c",
"src/crypto/x509v3/v3_pcia.c",
"src/crypto/x509v3/v3_pcons.c",
"src/crypto/x509v3/v3_pku.c",
"src/crypto/x509v3/v3_pmaps.c",
"src/crypto/x509v3/v3_prn.c",
"src/crypto/x509v3/v3_purp.c",
"src/crypto/x509v3/v3_skey.c",
"src/crypto/x509v3/v3_sxnet.c",
"src/crypto/x509v3/v3_utl.c",
"src/third_party/fiat/curve25519.c",
]
tool_sources = [
"src/tool/args.cc",
"src/tool/ciphers.cc",
"src/tool/client.cc",
"src/tool/const.cc",
"src/tool/digest.cc",
"src/tool/file.cc",
"src/tool/generate_ed25519.cc",
"src/tool/genrsa.cc",
"src/tool/pkcs12.cc",
"src/tool/rand.cc",
"src/tool/server.cc",
"src/tool/sign.cc",
"src/tool/speed.cc",
"src/tool/tool.cc",
"src/tool/transport_common.cc",
]
tool_headers = [
"src/tool/internal.h",
"src/tool/transport_common.h",
]
crypto_sources_ios_aarch64 = [
"ios-aarch64/crypto/chacha/chacha-armv8.S",
"ios-aarch64/crypto/fipsmodule/aesv8-armx64.S",
"ios-aarch64/crypto/fipsmodule/armv8-mont.S",
"ios-aarch64/crypto/fipsmodule/ghash-neon-armv8.S",
"ios-aarch64/crypto/fipsmodule/ghashv8-armx64.S",
"ios-aarch64/crypto/fipsmodule/sha1-armv8.S",
"ios-aarch64/crypto/fipsmodule/sha256-armv8.S",
"ios-aarch64/crypto/fipsmodule/sha512-armv8.S",
"ios-aarch64/crypto/fipsmodule/vpaes-armv8.S",
"ios-aarch64/crypto/test/trampoline-armv8.S",
]
crypto_sources_ios_arm = [
"ios-arm/crypto/chacha/chacha-armv4.S",
"ios-arm/crypto/fipsmodule/aesv8-armx32.S",
"ios-arm/crypto/fipsmodule/armv4-mont.S",
"ios-arm/crypto/fipsmodule/bsaes-armv7.S",
"ios-arm/crypto/fipsmodule/ghash-armv4.S",
"ios-arm/crypto/fipsmodule/ghashv8-armx32.S",
"ios-arm/crypto/fipsmodule/sha1-armv4-large.S",
"ios-arm/crypto/fipsmodule/sha256-armv4.S",
"ios-arm/crypto/fipsmodule/sha512-armv4.S",
"ios-arm/crypto/fipsmodule/vpaes-armv7.S",
"ios-arm/crypto/test/trampoline-armv4.S",
]
crypto_sources_linux_aarch64 = [
"linux-aarch64/crypto/chacha/chacha-armv8.S",
"linux-aarch64/crypto/fipsmodule/aesv8-armx64.S",
"linux-aarch64/crypto/fipsmodule/armv8-mont.S",
"linux-aarch64/crypto/fipsmodule/ghash-neon-armv8.S",
"linux-aarch64/crypto/fipsmodule/ghashv8-armx64.S",
"linux-aarch64/crypto/fipsmodule/sha1-armv8.S",
"linux-aarch64/crypto/fipsmodule/sha256-armv8.S",
"linux-aarch64/crypto/fipsmodule/sha512-armv8.S",
"linux-aarch64/crypto/fipsmodule/vpaes-armv8.S",
"linux-aarch64/crypto/test/trampoline-armv8.S",
]
crypto_sources_linux_arm = [
"linux-arm/crypto/chacha/chacha-armv4.S",
"linux-arm/crypto/fipsmodule/aesv8-armx32.S",
"linux-arm/crypto/fipsmodule/armv4-mont.S",
"linux-arm/crypto/fipsmodule/bsaes-armv7.S",
"linux-arm/crypto/fipsmodule/ghash-armv4.S",
"linux-arm/crypto/fipsmodule/ghashv8-armx32.S",
"linux-arm/crypto/fipsmodule/sha1-armv4-large.S",
"linux-arm/crypto/fipsmodule/sha256-armv4.S",
"linux-arm/crypto/fipsmodule/sha512-armv4.S",
"linux-arm/crypto/fipsmodule/vpaes-armv7.S",
"linux-arm/crypto/test/trampoline-armv4.S",
"src/crypto/curve25519/asm/x25519-asm-arm.S",
"src/crypto/poly1305/poly1305_arm_asm.S",
]
crypto_sources_linux_ppc64le = [
"linux-ppc64le/crypto/fipsmodule/aesp8-ppc.S",
"linux-ppc64le/crypto/fipsmodule/ghashp8-ppc.S",
"linux-ppc64le/crypto/test/trampoline-ppc.S",
]
crypto_sources_linux_x86 = [
"linux-x86/crypto/chacha/chacha-x86.S",
"linux-x86/crypto/fipsmodule/aesni-x86.S",
"linux-x86/crypto/fipsmodule/bn-586.S",
"linux-x86/crypto/fipsmodule/co-586.S",
"linux-x86/crypto/fipsmodule/ghash-ssse3-x86.S",
"linux-x86/crypto/fipsmodule/ghash-x86.S",
"linux-x86/crypto/fipsmodule/md5-586.S",
"linux-x86/crypto/fipsmodule/sha1-586.S",
"linux-x86/crypto/fipsmodule/sha256-586.S",
"linux-x86/crypto/fipsmodule/sha512-586.S",
"linux-x86/crypto/fipsmodule/vpaes-x86.S",
"linux-x86/crypto/fipsmodule/x86-mont.S",
"linux-x86/crypto/test/trampoline-x86.S",
]
crypto_sources_linux_x86_64 = [
"linux-x86_64/crypto/chacha/chacha-x86_64.S",
"linux-x86_64/crypto/cipher_extra/aes128gcmsiv-x86_64.S",
"linux-x86_64/crypto/cipher_extra/chacha20_poly1305_x86_64.S",
"linux-x86_64/crypto/fipsmodule/aesni-gcm-x86_64.S",
"linux-x86_64/crypto/fipsmodule/aesni-x86_64.S",
"linux-x86_64/crypto/fipsmodule/ghash-ssse3-x86_64.S",
"linux-x86_64/crypto/fipsmodule/ghash-x86_64.S",
"linux-x86_64/crypto/fipsmodule/md5-x86_64.S",
"linux-x86_64/crypto/fipsmodule/p256-x86_64-asm.S",
"linux-x86_64/crypto/fipsmodule/p256_beeu-x86_64-asm.S",
"linux-x86_64/crypto/fipsmodule/rdrand-x86_64.S",
"linux-x86_64/crypto/fipsmodule/rsaz-avx2.S",
"linux-x86_64/crypto/fipsmodule/sha1-x86_64.S",
"linux-x86_64/crypto/fipsmodule/sha256-x86_64.S",
"linux-x86_64/crypto/fipsmodule/sha512-x86_64.S",
"linux-x86_64/crypto/fipsmodule/vpaes-x86_64.S",
"linux-x86_64/crypto/fipsmodule/x86_64-mont.S",
"linux-x86_64/crypto/fipsmodule/x86_64-mont5.S",
"linux-x86_64/crypto/test/trampoline-x86_64.S",
"src/crypto/hrss/asm/poly_rq_mul.S",
]
crypto_sources_mac_x86 = [
"mac-x86/crypto/chacha/chacha-x86.S",
"mac-x86/crypto/fipsmodule/aesni-x86.S",
"mac-x86/crypto/fipsmodule/bn-586.S",
"mac-x86/crypto/fipsmodule/co-586.S",
"mac-x86/crypto/fipsmodule/ghash-ssse3-x86.S",
"mac-x86/crypto/fipsmodule/ghash-x86.S",
"mac-x86/crypto/fipsmodule/md5-586.S",
"mac-x86/crypto/fipsmodule/sha1-586.S",
"mac-x86/crypto/fipsmodule/sha256-586.S",
"mac-x86/crypto/fipsmodule/sha512-586.S",
"mac-x86/crypto/fipsmodule/vpaes-x86.S",
"mac-x86/crypto/fipsmodule/x86-mont.S",
"mac-x86/crypto/test/trampoline-x86.S",
]
crypto_sources_mac_x86_64 = [
"mac-x86_64/crypto/chacha/chacha-x86_64.S",
"mac-x86_64/crypto/cipher_extra/aes128gcmsiv-x86_64.S",
"mac-x86_64/crypto/cipher_extra/chacha20_poly1305_x86_64.S",
"mac-x86_64/crypto/fipsmodule/aesni-gcm-x86_64.S",
"mac-x86_64/crypto/fipsmodule/aesni-x86_64.S",
"mac-x86_64/crypto/fipsmodule/ghash-ssse3-x86_64.S",
"mac-x86_64/crypto/fipsmodule/ghash-x86_64.S",
"mac-x86_64/crypto/fipsmodule/md5-x86_64.S",
"mac-x86_64/crypto/fipsmodule/p256-x86_64-asm.S",
"mac-x86_64/crypto/fipsmodule/p256_beeu-x86_64-asm.S",
"mac-x86_64/crypto/fipsmodule/rdrand-x86_64.S",
"mac-x86_64/crypto/fipsmodule/rsaz-avx2.S",
"mac-x86_64/crypto/fipsmodule/sha1-x86_64.S",
"mac-x86_64/crypto/fipsmodule/sha256-x86_64.S",
"mac-x86_64/crypto/fipsmodule/sha512-x86_64.S",
"mac-x86_64/crypto/fipsmodule/vpaes-x86_64.S",
"mac-x86_64/crypto/fipsmodule/x86_64-mont.S",
"mac-x86_64/crypto/fipsmodule/x86_64-mont5.S",
"mac-x86_64/crypto/test/trampoline-x86_64.S",
]
crypto_sources_win_x86 = [
"win-x86/crypto/chacha/chacha-x86.asm",
"win-x86/crypto/fipsmodule/aesni-x86.asm",
"win-x86/crypto/fipsmodule/bn-586.asm",
"win-x86/crypto/fipsmodule/co-586.asm",
"win-x86/crypto/fipsmodule/ghash-ssse3-x86.asm",
"win-x86/crypto/fipsmodule/ghash-x86.asm",
"win-x86/crypto/fipsmodule/md5-586.asm",
"win-x86/crypto/fipsmodule/sha1-586.asm",
"win-x86/crypto/fipsmodule/sha256-586.asm",
"win-x86/crypto/fipsmodule/sha512-586.asm",
"win-x86/crypto/fipsmodule/vpaes-x86.asm",
"win-x86/crypto/fipsmodule/x86-mont.asm",
"win-x86/crypto/test/trampoline-x86.asm",
]
crypto_sources_win_x86_64 = [
"win-x86_64/crypto/chacha/chacha-x86_64.asm",
"win-x86_64/crypto/cipher_extra/aes128gcmsiv-x86_64.asm",
"win-x86_64/crypto/cipher_extra/chacha20_poly1305_x86_64.asm",
"win-x86_64/crypto/fipsmodule/aesni-gcm-x86_64.asm",
"win-x86_64/crypto/fipsmodule/aesni-x86_64.asm",
"win-x86_64/crypto/fipsmodule/ghash-ssse3-x86_64.asm",
"win-x86_64/crypto/fipsmodule/ghash-x86_64.asm",
"win-x86_64/crypto/fipsmodule/md5-x86_64.asm",
"win-x86_64/crypto/fipsmodule/p256-x86_64-asm.asm",
"win-x86_64/crypto/fipsmodule/p256_beeu-x86_64-asm.asm",
"win-x86_64/crypto/fipsmodule/rdrand-x86_64.asm",
"win-x86_64/crypto/fipsmodule/rsaz-avx2.asm",
"win-x86_64/crypto/fipsmodule/sha1-x86_64.asm",
"win-x86_64/crypto/fipsmodule/sha256-x86_64.asm",
"win-x86_64/crypto/fipsmodule/sha512-x86_64.asm",
"win-x86_64/crypto/fipsmodule/vpaes-x86_64.asm",
"win-x86_64/crypto/fipsmodule/x86_64-mont.asm",
"win-x86_64/crypto/fipsmodule/x86_64-mont5.asm",
"win-x86_64/crypto/test/trampoline-x86_64.asm",
]
| 36.263623
| 72
| 0.678715
| 3,916
| 24,623
| 4.14811
| 0.096272
| 0.187269
| 0.18099
| 0.080891
| 0.646823
| 0.384573
| 0.161783
| 0.136112
| 0.061438
| 0.010096
| 0
| 0.074765
| 0.129797
| 24,623
| 678
| 73
| 36.317109
| 0.683343
| 0.002843
| 0
| 0
| 1
| 0
| 0.775936
| 0.739848
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.006088
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5d661c9e86acf4be9b24169024a43a7f17eac7d9
| 38
|
py
|
Python
|
certbot_dns_subdomain_provider/__init__.py
|
tugrul/certbot-dns-subdomain-provider
|
8387cefdfde8bb560f3cae91570e263d5c278dd1
|
[
"Apache-2.0"
] | null | null | null |
certbot_dns_subdomain_provider/__init__.py
|
tugrul/certbot-dns-subdomain-provider
|
8387cefdfde8bb560f3cae91570e263d5c278dd1
|
[
"Apache-2.0"
] | null | null | null |
certbot_dns_subdomain_provider/__init__.py
|
tugrul/certbot-dns-subdomain-provider
|
8387cefdfde8bb560f3cae91570e263d5c278dd1
|
[
"Apache-2.0"
] | null | null | null |
"""
certbot DNS subdomain provider
"""
| 12.666667
| 30
| 0.710526
| 4
| 38
| 6.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131579
| 38
| 3
| 31
| 12.666667
| 0.818182
| 0.789474
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5d705edd67e2e04735591778b8ea4739bde70d0d
| 63
|
py
|
Python
|
main.py
|
jerradf/Crypto-Blockchain-Project
|
f1ecda84972d2280acde12befe5725db4cd2f7b5
|
[
"MIT"
] | null | null | null |
main.py
|
jerradf/Crypto-Blockchain-Project
|
f1ecda84972d2280acde12befe5725db4cd2f7b5
|
[
"MIT"
] | null | null | null |
main.py
|
jerradf/Crypto-Blockchain-Project
|
f1ecda84972d2280acde12befe5725db4cd2f7b5
|
[
"MIT"
] | null | null | null |
# main.py
# Author: Jerrad Flores
import app
app.UI().main()
| 9
| 23
| 0.666667
| 10
| 63
| 4.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174603
| 63
| 6
| 24
| 10.5
| 0.807692
| 0.460317
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
536fb94d31bf4b1ddcdaa915a62b7c51a8b8984b
| 174
|
py
|
Python
|
src/nn/tests/__init__.py
|
nrc-cnrc/Portage-SMT-TAS
|
73f5a65de4adfa13008ea9a01758385c97526059
|
[
"MIT"
] | null | null | null |
src/nn/tests/__init__.py
|
nrc-cnrc/Portage-SMT-TAS
|
73f5a65de4adfa13008ea9a01758385c97526059
|
[
"MIT"
] | null | null | null |
src/nn/tests/__init__.py
|
nrc-cnrc/Portage-SMT-TAS
|
73f5a65de4adfa13008ea9a01758385c97526059
|
[
"MIT"
] | null | null | null |
# Having a file named __init__.py make that folder a module then we can invoke:
# python -m unittest tests.test_nnjm_data_iterator.TestInfiniteIterator.test_03_file_reopened
| 58
| 93
| 0.83908
| 28
| 174
| 4.857143
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012987
| 0.114943
| 174
| 2
| 94
| 87
| 0.87013
| 0.971264
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5377aecc5620e630137248af48ac11dd8dfa1264
| 12
|
py
|
Python
|
lang/py/cookbook/v2/source/cb2_7_8_sol_5.py
|
ch1huizong/learning
|
632267634a9fd84a5f5116de09ff1e2681a6cc85
|
[
"MIT"
] | null | null | null |
lang/py/cookbook/v2/source/cb2_7_8_sol_5.py
|
ch1huizong/learning
|
632267634a9fd84a5f5116de09ff1e2681a6cc85
|
[
"MIT"
] | null | null | null |
lang/py/cookbook/v2/source/cb2_7_8_sol_5.py
|
ch1huizong/learning
|
632267634a9fd84a5f5116de09ff1e2681a6cc85
|
[
"MIT"
] | null | null | null |
adb.close()
| 6
| 11
| 0.666667
| 2
| 12
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 12
| 1
| 12
| 12
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
53b590fd3ce552314528f8575f475829005dada7
| 320
|
py
|
Python
|
04-loops/generate_range.py
|
alvgaona/PC
|
dc043861a7246c228f40d882b70faa6b9623b05b
|
[
"MIT"
] | 2
|
2022-03-29T16:40:32.000Z
|
2022-03-29T16:42:34.000Z
|
04-loops/generate_range.py
|
alvgaona/PC
|
dc043861a7246c228f40d882b70faa6b9623b05b
|
[
"MIT"
] | null | null | null |
04-loops/generate_range.py
|
alvgaona/PC
|
dc043861a7246c228f40d882b70faa6b9623b05b
|
[
"MIT"
] | null | null | null |
#%%
def generate_range(min: int, max: int, step: int) -> None:
for i in range(min, max + 1, step):
print(i)
generate_range(2, 10, 2)
# %%
# %%
def generate_range(min: int, max: int, step: int) -> None:
i = min
while i <= max:
print(i)
i = i + step
generate_range(2, 10, 2)
| 12.8
| 58
| 0.528125
| 50
| 320
| 3.3
| 0.32
| 0.315152
| 0.193939
| 0.230303
| 0.678788
| 0.472727
| 0.472727
| 0.472727
| 0.472727
| 0.472727
| 0
| 0.040541
| 0.30625
| 320
| 24
| 59
| 13.333333
| 0.702703
| 0.025
| 0
| 0.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0
| 0.2
| 0.2
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
54cf57acbe01747be3a9ad6648cf45e507039a0b
| 358
|
py
|
Python
|
autoreject/__init__.py
|
ktavabi/autoreject
|
9571e1f35497bc5484af8f2cfafcc3c91b6b6f18
|
[
"BSD-3-Clause"
] | null | null | null |
autoreject/__init__.py
|
ktavabi/autoreject
|
9571e1f35497bc5484af8f2cfafcc3c91b6b6f18
|
[
"BSD-3-Clause"
] | null | null | null |
autoreject/__init__.py
|
ktavabi/autoreject
|
9571e1f35497bc5484af8f2cfafcc3c91b6b6f18
|
[
"BSD-3-Clause"
] | null | null | null |
"""Automated rejection and repair of epochs in M/EEG."""
__version__ = '0.4.dev0'
from .autoreject import _GlobalAutoReject, _AutoReject, AutoReject
from .autoreject import RejectLog, read_auto_reject
from .autoreject import compute_thresholds, validation_curve, get_rejection_threshold
from .ransac import Ransac
from .utils import set_matplotlib_defaults
| 39.777778
| 85
| 0.832402
| 46
| 358
| 6.173913
| 0.695652
| 0.147887
| 0.211268
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009346
| 0.103352
| 358
| 8
| 86
| 44.75
| 0.875389
| 0.139665
| 0
| 0
| 0
| 0
| 0.02649
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.833333
| 0
| 0.833333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
072c693feffa1a8b36b1496ad6cc2d0ec1147fca
| 861
|
py
|
Python
|
src/net/NetSettings.py
|
ILoveRedEd55/AIML_Detection_System
|
b2fdd8475f069884060f7bb31f41953bae057d7b
|
[
"BSD-3-Clause"
] | null | null | null |
src/net/NetSettings.py
|
ILoveRedEd55/AIML_Detection_System
|
b2fdd8475f069884060f7bb31f41953bae057d7b
|
[
"BSD-3-Clause"
] | null | null | null |
src/net/NetSettings.py
|
ILoveRedEd55/AIML_Detection_System
|
b2fdd8475f069884060f7bb31f41953bae057d7b
|
[
"BSD-3-Clause"
] | null | null | null |
#from src.net.D19_3Fc import *
#from src.net.old_G1D19_1Fc_1LSTM import *
#from src.net.G1D19_1Fc_1LSTM import *
#from src.net.G1D19_1Fc_2LSTM import *
#from src.net.G1D19_ResHB_ResHB_1LSTM import *
#from src.net.G2D19_1Fc_1LSTM import *
#from src.net.G2D19_BN_1Fc_1LSTM import *
#from src.net.G2D19_1Fc_2LSTM import *
#from src.net.G2D19_Conv_1LSTM import *
#from src.net.G2D19_BN_Conv_1LSTM import *
#from src.net.G2D19_VGG_1LSTM import *
#from src.net.G2D19_P2OF_CNN_1LSTM import *
#from src.net.G2D19_P2OF_ResBB_1LSTM import *
from net.G2D19_P2OF_ResHB_1LSTM import * # Champion
#from src.net.G2D19_P2OF_ResHB_passthrough_1LSTM import *
def GetNetwork(inputImage_, batchSize_, unrolledSize_, isTraining_, trainingStep_):
print("\n Using Network: ", Net.__module__, "\n")
return Net(inputImage_, batchSize_, unrolledSize_, isTraining_, trainingStep_)
| 39.136364
| 83
| 0.801394
| 134
| 861
| 4.761194
| 0.253731
| 0.153605
| 0.219436
| 0.30094
| 0.711599
| 0.5
| 0.434169
| 0.103448
| 0.103448
| 0
| 0
| 0.089147
| 0.101045
| 861
| 21
| 84
| 41
| 0.735142
| 0.662021
| 0
| 0
| 0
| 0
| 0.072464
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0.25
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
07458928118f8ead1f40a47d4da2ec76f35697ec
| 306
|
py
|
Python
|
tests/events/test_event.py
|
danieleades/cleo
|
76a4e64668670b4cbfe68ec3ec0ec592a3eadbbd
|
[
"MIT"
] | null | null | null |
tests/events/test_event.py
|
danieleades/cleo
|
76a4e64668670b4cbfe68ec3ec0ec592a3eadbbd
|
[
"MIT"
] | null | null | null |
tests/events/test_event.py
|
danieleades/cleo
|
76a4e64668670b4cbfe68ec3ec0ec592a3eadbbd
|
[
"MIT"
] | null | null | null |
from __future__ import annotations
from cleo.events.event import Event
def test_is_propagation_stopped():
e = Event()
assert not e.is_propagation_stopped()
def test_stop_propagation_and_is_propagation_stopped():
e = Event()
e.stop_propagation()
assert e.is_propagation_stopped()
| 18
| 55
| 0.75817
| 41
| 306
| 5.219512
| 0.414634
| 0.242991
| 0.373832
| 0.196262
| 0.242991
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 306
| 16
| 56
| 19.125
| 0.839216
| 0
| 0
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 1
| 0.222222
| false
| 0
| 0.222222
| 0
| 0.444444
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
075b761515e72cc2c7500903c45d1c73e0846d8d
| 279
|
py
|
Python
|
wsgi/iportalen_django/utils/text.py
|
I-sektionen/i-portalen
|
1713e5814d40c0da1bf3278d60a561e7d3df3550
|
[
"MIT"
] | 4
|
2016-09-21T17:06:01.000Z
|
2018-02-06T16:36:44.000Z
|
wsgi/iportalen_django/utils/text.py
|
I-sektionen/i-portalen
|
1713e5814d40c0da1bf3278d60a561e7d3df3550
|
[
"MIT"
] | 149
|
2016-03-07T23:50:47.000Z
|
2022-03-11T23:16:33.000Z
|
wsgi/iportalen_django/utils/text.py
|
I-sektionen/i-portalen
|
1713e5814d40c0da1bf3278d60a561e7d3df3550
|
[
"MIT"
] | 1
|
2016-03-07T23:02:06.000Z
|
2016-03-07T23:02:06.000Z
|
import string
import random
def count_words(text):
return len(text.split())
def count_characters(text):
return len(text)
def random_string_generator(size=32, chars=string.ascii_letters + string.digits):
return ''.join(random.choice(chars) for x in range(size))
| 18.6
| 81
| 0.738351
| 41
| 279
| 4.902439
| 0.585366
| 0.079602
| 0.129353
| 0.169154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008403
| 0.146953
| 279
| 14
| 82
| 19.928571
| 0.836134
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.375
| false
| 0
| 0.25
| 0.375
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
4ad0bebd1781a200e7975e77263f7a4671156ecd
| 3,291
|
py
|
Python
|
helpdesk/forms.py
|
vitorpvcampos/django-zdesk
|
b630a468a12b41f4a95c991d81bfcbf5973b5532
|
[
"MIT"
] | 2
|
2020-02-27T13:17:24.000Z
|
2021-01-29T19:03:53.000Z
|
helpdesk/forms.py
|
vitorpvcampos/django-zdesk
|
b630a468a12b41f4a95c991d81bfcbf5973b5532
|
[
"MIT"
] | 236
|
2020-01-31T20:26:36.000Z
|
2022-03-18T16:10:36.000Z
|
helpdesk/forms.py
|
vitorpvcampos/django-zdesk
|
b630a468a12b41f4a95c991d81bfcbf5973b5532
|
[
"MIT"
] | 1
|
2020-08-13T15:02:03.000Z
|
2020-08-13T15:02:03.000Z
|
from django.forms import ModelForm, Select, CheckboxInput, Textarea, TextInput, EmailInput, CheckboxSelectMultiple, \
NumberInput
from .models import Ticket
class TicketManageForm(ModelForm):
class Meta:
model = Ticket
fields = ['status',
'priority',
'tecnico_pre_diagnostico',
'tecnico_de_campo',
'is_customer',
'customer_code',
'order',
'losses',
'need_paper',
'resolution_report', ]
widgets = {
'status': Select(attrs={'class': 'form-control', 'placeholder': 'Status'}),
'priority': Select(attrs={'class': 'form-control', 'placeholder': 'Prioridade'}),
'tecnico_pre_diagnostico': Select(attrs={'class': 'form-control', 'placeholder': 'Pré diagnostico'}),
'tecnico_de_campo': Select(attrs={'class': 'form-control', 'placeholder': 'Tecnico de campo'}),
'is_customer': CheckboxInput(attrs={'class': 'form-control'}),
'customer_code': TextInput(attrs={'class': 'form-control'}),
'order': TextInput(attrs={'class': 'form-control'}),
'losses': NumberInput(attrs={'class': 'form-control'}),
'need_paper': CheckboxInput(attrs={'class': 'form-control'}),
'resolution_report': Textarea(attrs={'class': 'form-control'})
}
class TicketForm(ModelForm):
class Meta:
model = Ticket
fields = ['queue',
'problems',
'submitter_name',
'submitter_company',
'submitter_phone',
'submitter_email',
'status',
'priority',
'tecnico_pre_diagnostico',
'tecnico_de_campo',
'is_customer',
'customer_code',
'order',
'need_paper',
'resolution_report', ]
widgets = {
'queue': Select(attrs={'class': 'form-control', 'placeholder': 'Queue'}),
'problems': CheckboxSelectMultiple(attrs={'class': 'form-control'}),
'submitter_name': TextInput(attrs={'class': 'form-control'}),
'submitter_company': TextInput(attrs={'class': 'form-control'}),
'submitter_phone': TextInput(attrs={'class': 'form-control'}),
'submitter_email': EmailInput(attrs={'class': 'form-control'}),
'status': Select(attrs={'class': 'form-control', 'placeholder': 'Status'}),
'priority': Select(attrs={'class': 'form-control', 'placeholder': 'Prioridade'}),
'tecnico_pre_diagnostico': Select(attrs={'class': 'form-control', 'placeholder': 'Pré diagnostico'}),
'tecnico_de_campo': Select(attrs={'class': 'form-control', 'placeholder': 'Tecnico de campo'}),
'is_customer': CheckboxInput(attrs={'class': 'form-control'}),
'customer_code': TextInput(attrs={'class': 'form-control'}),
'order': TextInput(attrs={'class': 'form-control'}),
'need_paper': CheckboxInput(attrs={'class': 'form-control'}),
'resolution_report': Textarea(attrs={'class': 'form-control'})
}
| 46.352113
| 117
| 0.544515
| 273
| 3,291
| 6.417582
| 0.18315
| 0.142694
| 0.199772
| 0.299658
| 0.799087
| 0.745434
| 0.617009
| 0.617009
| 0.617009
| 0.617009
| 0
| 0
| 0.293224
| 3,291
| 70
| 118
| 47.014286
| 0.753224
| 0
| 0
| 0.634921
| 0
| 0
| 0.370404
| 0.027955
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.031746
| 0
| 0.095238
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ab0bceabb553656c3c96e3e1ed923362409db4bd
| 6,220
|
py
|
Python
|
productionbugs.py
|
rafaelh/py
|
b7bfdd679742480d8fb768c833ee3877fff27c56
|
[
"MIT"
] | 1
|
2019-03-06T09:55:40.000Z
|
2019-03-06T09:55:40.000Z
|
productionbugs.py
|
rafaelh/py
|
b7bfdd679742480d8fb768c833ee3877fff27c56
|
[
"MIT"
] | null | null | null |
productionbugs.py
|
rafaelh/py
|
b7bfdd679742480d8fb768c833ee3877fff27c56
|
[
"MIT"
] | null | null | null |
# Requires pypiwin32 and jira
# To Do:
# * Increase spacing between bullet points
# * Add Error handling in case the password is wrong
import datetime
from getpass import getpass
import win32com.client
from jira import JIRA
def getpassword():
""" Get JIRA password, so we aren't hardcoding it """
password = getpass("JIRA Password: ")
if not password:
exit()
else:
return password
USERNAME = 'rhart'
print("Username: " + USERNAME)
PASSWORD = getpassword()
JQL = JIRA(server=('https://jira.starrez.com'), basic_auth=(USERNAME, PASSWORD))
BODY = '<html><body>'
for x in range (0, 2):
print("Getting Month -" + str(x) + " for Web...")
searchQuery = "project = Web and createdDate >= startOfMonth(-" + str(x) + "M) and createdDate <= endofMonth(-" + str(x) + "M) and issueFunction in linkedIssuesOf(\"project = techhelp\") and type = bug"
bugList = JQL.search_issues(searchQuery, maxResults=200)
BODY += "<p>%s web bugs for month %s<br>" % (len(bugList), str(x))
bugList = None
print("Getting Month -" + str(x) + " for PortalX...")
searchQuery = "project = PortalX and createdDate >= startOfMonth(-" + str(x) + "M) and createdDate <= endofMonth(-" + str(x) + "M) and issueFunction in linkedIssuesOf(\"project = techhelp\") and type = bug"
bugList = JQL.search_issues(searchQuery, maxResults=200)
BODY += "%s PortalX bugs for month %s<br>" % (len(bugList), str(x))
bugList = None
print("Getting Month -" + str(x) + " for StarRez X...")
searchQuery = "project = \"Mobile Applications\" and createdDate >= startOfMonth(-" + str(x) + "M) and createdDate <= endofMonth(-" + str(x) + "M) and issueFunction in linkedIssuesOf(\"project = techhelp\") and type = bug"
bugList = JQL.search_issues(searchQuery, maxResults=200)
BODY += "%s StarRez X bugs for month %s<br>" % (len(bugList), str(x))
bugList = None
print("Getting Month -" + str(x) + " for Cloud...")
searchQuery = "project = \"Cloud & Framework\" and createdDate >= startOfMonth(-" + str(x) + "M) and createdDate <= endofMonth(-" + str(x) + "M) and issueFunction in linkedIssuesOf(\"project = techhelp\") and type = bug"
bugList = JQL.search_issues(searchQuery, maxResults=200)
BODY += "%s Cloud bugs for month %s<br>" % (len(bugList), str(x))
bugList = None
print("Getting Month -" + str(x) + " for UI/UX...")
searchQuery = "resolved >= startOfMonth(-" + str(x) + "M) and resolved <= endofMonth(-" + str(x) + "M) and \"Epic Link\" in (PORTALX-1508, WEB-7375) or resolved >= startOfMonth(-" + str(x) + "M) and resolved <= endofMonth(-" + str(x) + "M) and Developer = mjack"
bugList = JQL.search_issues(searchQuery, maxResults=200)
BODY += "%s UI/UX jobs for month %s<br>" % (len(bugList), str(x))
bugList = None
print("Getting Month -" + str(x) + " for Documents...")
searchQuery = "project = Documentation and resolved >= startOfMonth(-" + str(x) + "M) and resolved <= endofMonth(-" + str(x) + "M)"
bugList = JQL.search_issues(searchQuery, maxResults=200)
BODY += "%s Doc jobs for month %s<br>" % (len(bugList), str(x))
bugList = None
print("Getting Month -" + str(x) + " Velocity for Web...")
searchQuery = "project = Web and resolved >= startOfMonth(-" + str(x) + "M) and resolved <= endofMonth(-" + str(x) + "M)"
bugList = JQL.search_issues(searchQuery, maxResults=200)
jobtotal = 0
for issue in bugList:
if issue.fields.timeoriginalestimate is None:
result = 0
else:
result = issue.fields.timeoriginalestimate
jobtotal += result / 3600
BODY += "%s Web jobs for month %s, totalling %s hours<br>" % (len(bugList), str(x), round(jobtotal))
bugList = None
jobtotal = None
print("Getting Month -" + str(x) + " Velocity for PortalX...")
searchQuery = "project = PortalX and resolved >= startOfMonth(-" + str(x) + "M) and resolved <= endofMonth(-" + str(x) + "M)"
bugList = JQL.search_issues(searchQuery, maxResults=200)
jobtotal = 0
for issue in bugList:
if issue.fields.timeoriginalestimate is None:
result = 0
else:
result = issue.fields.timeoriginalestimate
jobtotal += result / 3600
BODY += "%s PortalX jobs for month %s, totalling %s hours<br>" % (len(bugList), str(x), round(jobtotal))
bugList = None
jobtotal = None
print("Getting Month -" + str(x) + " Velocity for Cloud...")
searchQuery = "project = \"Cloud & Framework\" and resolved >= startOfMonth(-" + str(x) + "M) and resolved <= endofMonth(-" + str(x) + "M)"
bugList = JQL.search_issues(searchQuery, maxResults=200)
jobtotal = 0
for issue in bugList:
if issue.fields.timeoriginalestimate is None:
result = 0
else:
result = issue.fields.timeoriginalestimate
jobtotal += result / 3600
BODY += "%s Cloud jobs for month %s, totalling %s hours<br>" % (len(bugList), str(x), round(jobtotal))
bugList = None
jobtotal = None
print("Getting Month -" + str(x) + " Velocity for Integrations...")
searchQuery = "project = \"Custom Development\" and resolved >= startOfMonth(-" + str(x) + "M) and resolved <= endofMonth(-" + str(x) + "M) and Developer is NOT EMPTY"
bugList = JQL.search_issues(searchQuery, maxResults=200)
jobtotal = 0
for issue in bugList:
if issue.fields.timespent is None:
result = 0
else:
result = issue.fields.timespent
jobtotal += result / 3600
BODY += "%s Integration jobs for month %s, totalling %s hours<p>" % (len(bugList), str(x), round(jobtotal))
bugList = None
jobtotal = None
BODY += '</body></html>'
def createemail(emailbody):
""" Sent Email Contents to Outlook """
olmailitem = 0x0
obj = win32com.client.Dispatch("Outlook.Application")
newmail = obj.CreateItem(olmailitem)
today = datetime.date.today()
newmail.Subject = today.strftime("Production Bugs - %d %b %Y")
newmail.HTMLBody = emailbody
newmail.display()
createemail(BODY)
| 46.41791
| 267
| 0.618328
| 745
| 6,220
| 5.147651
| 0.189262
| 0.043807
| 0.028683
| 0.037549
| 0.749935
| 0.743937
| 0.708475
| 0.681877
| 0.670143
| 0.655541
| 0
| 0.01512
| 0.234405
| 6,220
| 133
| 268
| 46.766917
| 0.790214
| 0.033119
| 0
| 0.472222
| 0
| 0
| 0.339983
| 0
| 0
| 0
| 0.000512
| 0
| 0
| 1
| 0.018519
| false
| 0.064815
| 0.037037
| 0
| 0.064815
| 0.101852
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
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|
0
| 4
|
ab1987a590d6a3431878bbf98758a4fa1e68d4e1
| 48,801
|
py
|
Python
|
LW-BlockCiphersPython/LED_80/LED_80_64.py
|
rzpbcodes/LightWeightBlockCiphers
|
c70047862381132eba603da7d91d8594170c3d04
|
[
"MIT"
] | 4
|
2019-10-18T01:09:49.000Z
|
2022-03-13T07:45:09.000Z
|
LW-BlockCiphersPython/LED_80/LED_80_64.py
|
rzpbcodes/LightWeightBlockCiphers
|
c70047862381132eba603da7d91d8594170c3d04
|
[
"MIT"
] | null | null | null |
LW-BlockCiphersPython/LED_80/LED_80_64.py
|
rzpbcodes/LightWeightBlockCiphers
|
c70047862381132eba603da7d91d8594170c3d04
|
[
"MIT"
] | null | null | null |
class LED_80_64:
keySize = 64
T0 = [0x00BB00DD00AA0055, 0x00BA00D100AE0057, 0x00BC00DF00A5005B, 0x00B500D900A7005A, 0x00B100DC00A40052,
0x00B000D000A00050, 0x00B700D200AF005E, 0x00B900D600A20051, 0x00B600DE00AB005C, 0x00BF00D800A9005D,
0x00BD00D300A10059, 0x00B300D700AC0056, 0x00B800DA00A60053, 0x00BE00D400AD005F, 0x00B200DB00A80054,
0x00B400D500A30058, 0x00AB001D00EA0075, 0x00AA001100EE0077, 0x00AC001F00E5007B, 0x00A5001900E7007A,
0x00A1001C00E40072, 0x00A0001000E00070, 0x00A7001200EF007E, 0x00A9001600E20071, 0x00A6001E00EB007C,
0x00AF001800E9007D, 0x00AD001300E10079, 0x00A3001700EC0076, 0x00A8001A00E60073, 0x00AE001400ED007F,
0x00A2001B00E80074, 0x00A4001500E30078, 0x00CB00FD005A00B5, 0x00CA00F1005E00B7, 0x00CC00FF005500BB,
0x00C500F9005700BA, 0x00C100FC005400B2, 0x00C000F0005000B0, 0x00C700F2005F00BE, 0x00C900F6005200B1,
0x00C600FE005B00BC, 0x00CF00F8005900BD, 0x00CD00F3005100B9, 0x00C300F7005C00B6, 0x00C800FA005600B3,
0x00CE00F4005D00BF, 0x00C200FB005800B4, 0x00C400F5005300B8, 0x005B009D007A00A5, 0x005A0091007E00A7,
0x005C009F007500AB, 0x00550099007700AA, 0x0051009C007400A2, 0x00500090007000A0, 0x00570092007F00AE,
0x00590096007200A1, 0x0056009E007B00AC, 0x005F0098007900AD, 0x005D0093007100A9, 0x00530097007C00A6,
0x0058009A007600A3, 0x005E0094007D00AF, 0x0052009B007800A4, 0x00540095007300A8, 0x001B00CD004A0025,
0x001A00C1004E0027, 0x001C00CF0045002B, 0x001500C90047002A, 0x001100CC00440022, 0x001000C000400020,
0x001700C2004F002E, 0x001900C600420021, 0x001600CE004B002C, 0x001F00C80049002D, 0x001D00C300410029,
0x001300C7004C0026, 0x001800CA00460023, 0x001E00C4004D002F, 0x001200CB00480024, 0x001400C500430028,
0x000B000D000A0005, 0x000A0001000E0007, 0x000C000F0005000B, 0x000500090007000A, 0x0001000C00040002,
0x0000000000000000, 0x00070002000F000E, 0x0009000600020001, 0x0006000E000B000C, 0x000F00080009000D,
0x000D000300010009, 0x00030007000C0006, 0x0008000A00060003, 0x000E0004000D000F, 0x0002000B00080004,
0x0004000500030008, 0x007B002D00FA00E5, 0x007A002100FE00E7, 0x007C002F00F500EB, 0x0075002900F700EA,
0x0071002C00F400E2, 0x0070002000F000E0, 0x0077002200FF00EE, 0x0079002600F200E1, 0x0076002E00FB00EC,
0x007F002800F900ED, 0x007D002300F100E9, 0x0073002700FC00E6, 0x0078002A00F600E3, 0x007E002400FD00EF,
0x0072002B00F800E4, 0x0074002500F300E8, 0x009B006D002A0015, 0x009A0061002E0017, 0x009C006F0025001B,
0x009500690027001A, 0x0091006C00240012, 0x0090006000200010, 0x00970062002F001E, 0x0099006600220011,
0x0096006E002B001C, 0x009F00680029001D, 0x009D006300210019, 0x00930067002C0016, 0x0098006A00260013,
0x009E0064002D001F, 0x0092006B00280014, 0x0094006500230018, 0x006B00ED00BA00C5, 0x006A00E100BE00C7,
0x006C00EF00B500CB, 0x006500E900B700CA, 0x006100EC00B400C2, 0x006000E000B000C0, 0x006700E200BF00CE,
0x006900E600B200C1, 0x006600EE00BB00CC, 0x006F00E800B900CD, 0x006D00E300B100C9, 0x006300E700BC00C6,
0x006800EA00B600C3, 0x006E00E400BD00CF, 0x006200EB00B800C4, 0x006400E500B300C8, 0x00FB008D009A00D5,
0x00FA0081009E00D7, 0x00FC008F009500DB, 0x00F50089009700DA, 0x00F1008C009400D2, 0x00F00080009000D0,
0x00F70082009F00DE, 0x00F90086009200D1, 0x00F6008E009B00DC, 0x00FF0088009900DD, 0x00FD0083009100D9,
0x00F30087009C00D6, 0x00F8008A009600D3, 0x00FE0084009D00DF, 0x00F2008B009800D4, 0x00F40085009300D8,
0x00DB003D001A0095, 0x00DA0031001E0097, 0x00DC003F0015009B, 0x00D500390017009A, 0x00D1003C00140092,
0x00D0003000100090, 0x00D70032001F009E, 0x00D9003600120091, 0x00D6003E001B009C, 0x00DF00380019009D,
0x00DD003300110099, 0x00D30037001C0096, 0x00D8003A00160093, 0x00DE0034001D009F, 0x00D2003B00180094,
0x00D4003500130098, 0x003B007D00CA0065, 0x003A007100CE0067, 0x003C007F00C5006B, 0x0035007900C7006A,
0x0031007C00C40062, 0x0030007000C00060, 0x0037007200CF006E, 0x0039007600C20061, 0x0036007E00CB006C,
0x003F007800C9006D, 0x003D007300C10069, 0x0033007700CC0066, 0x0038007A00C60063, 0x003E007400CD006F,
0x0032007B00C80064, 0x0034007500C30068, 0x008B00AD006A0035, 0x008A00A1006E0037, 0x008C00AF0065003B,
0x008500A90067003A, 0x008100AC00640032, 0x008000A000600030, 0x008700A2006F003E, 0x008900A600620031,
0x008600AE006B003C, 0x008F00A80069003D, 0x008D00A300610039, 0x008300A7006C0036, 0x008800AA00660033,
0x008E00A4006D003F, 0x008200AB00680034, 0x008400A500630038, 0x00EB004D00DA00F5, 0x00EA004100DE00F7,
0x00EC004F00D500FB, 0x00E5004900D700FA, 0x00E1004C00D400F2, 0x00E0004000D000F0, 0x00E7004200DF00FE,
0x00E9004600D200F1, 0x00E6004E00DB00FC, 0x00EF004800D900FD, 0x00ED004300D100F9, 0x00E3004700DC00F6,
0x00E8004A00D600F3, 0x00EE004400DD00FF, 0x00E2004B00D800F4, 0x00E4004500D300F8, 0x002B00BD008A0045,
0x002A00B1008E0047, 0x002C00BF0085004B, 0x002500B90087004A, 0x002100BC00840042, 0x002000B000800040,
0x002700B2008F004E, 0x002900B600820041, 0x002600BE008B004C, 0x002F00B80089004D, 0x002D00B300810049,
0x002300B7008C0046, 0x002800BA00860043, 0x002E00B4008D004F, 0x002200BB00880044, 0x002400B500830048,
0x004B005D003A0085, 0x004A0051003E0087, 0x004C005F0035008B, 0x004500590037008A, 0x0041005C00340082,
0x0040005000300080, 0x00470052003F008E, 0x0049005600320081, 0x0046005E003B008C, 0x004F00580039008D,
0x004D005300310089, 0x00430057003C0086, 0x0048005A00360083, 0x004E0054003D008F, 0x0042005B00380084,
0x0044005500330088]
T1 = [0xBB00DD00AA005500, 0xBA00D100AE005700, 0xBC00DF00A5005B00, 0xB500D900A7005A00, 0xB100DC00A4005200,
0xB000D000A0005000, 0xB700D200AF005E00, 0xB900D600A2005100, 0xB600DE00AB005C00, 0xBF00D800A9005D00,
0xBD00D300A1005900, 0xB300D700AC005600, 0xB800DA00A6005300, 0xBE00D400AD005F00, 0xB200DB00A8005400,
0xB400D500A3005800, 0xAB001D00EA007500, 0xAA001100EE007700, 0xAC001F00E5007B00, 0xA5001900E7007A00,
0xA1001C00E4007200, 0xA0001000E0007000, 0xA7001200EF007E00, 0xA9001600E2007100, 0xA6001E00EB007C00,
0xAF001800E9007D00, 0xAD001300E1007900, 0xA3001700EC007600, 0xA8001A00E6007300, 0xAE001400ED007F00,
0xA2001B00E8007400, 0xA4001500E3007800, 0xCB00FD005A00B500, 0xCA00F1005E00B700, 0xCC00FF005500BB00,
0xC500F9005700BA00, 0xC100FC005400B200, 0xC000F0005000B000, 0xC700F2005F00BE00, 0xC900F6005200B100,
0xC600FE005B00BC00, 0xCF00F8005900BD00, 0xCD00F3005100B900, 0xC300F7005C00B600, 0xC800FA005600B300,
0xCE00F4005D00BF00, 0xC200FB005800B400, 0xC400F5005300B800, 0x5B009D007A00A500, 0x5A0091007E00A700,
0x5C009F007500AB00, 0x550099007700AA00, 0x51009C007400A200, 0x500090007000A000, 0x570092007F00AE00,
0x590096007200A100, 0x56009E007B00AC00, 0x5F0098007900AD00, 0x5D0093007100A900, 0x530097007C00A600,
0x58009A007600A300, 0x5E0094007D00AF00, 0x52009B007800A400, 0x540095007300A800, 0x1B00CD004A002500,
0x1A00C1004E002700, 0x1C00CF0045002B00, 0x1500C90047002A00, 0x1100CC0044002200, 0x1000C00040002000,
0x1700C2004F002E00, 0x1900C60042002100, 0x1600CE004B002C00, 0x1F00C80049002D00, 0x1D00C30041002900,
0x1300C7004C002600, 0x1800CA0046002300, 0x1E00C4004D002F00, 0x1200CB0048002400, 0x1400C50043002800,
0x0B000D000A000500, 0x0A0001000E000700, 0x0C000F0005000B00, 0x0500090007000A00, 0x01000C0004000200,
0x0000000000000000, 0x070002000F000E00, 0x0900060002000100, 0x06000E000B000C00, 0x0F00080009000D00,
0x0D00030001000900, 0x030007000C000600, 0x08000A0006000300, 0x0E0004000D000F00, 0x02000B0008000400,
0x0400050003000800, 0x7B002D00FA00E500, 0x7A002100FE00E700, 0x7C002F00F500EB00, 0x75002900F700EA00,
0x71002C00F400E200, 0x70002000F000E000, 0x77002200FF00EE00, 0x79002600F200E100, 0x76002E00FB00EC00,
0x7F002800F900ED00, 0x7D002300F100E900, 0x73002700FC00E600, 0x78002A00F600E300, 0x7E002400FD00EF00,
0x72002B00F800E400, 0x74002500F300E800, 0x9B006D002A001500, 0x9A0061002E001700, 0x9C006F0025001B00,
0x9500690027001A00, 0x91006C0024001200, 0x9000600020001000, 0x970062002F001E00, 0x9900660022001100,
0x96006E002B001C00, 0x9F00680029001D00, 0x9D00630021001900, 0x930067002C001600, 0x98006A0026001300,
0x9E0064002D001F00, 0x92006B0028001400, 0x9400650023001800, 0x6B00ED00BA00C500, 0x6A00E100BE00C700,
0x6C00EF00B500CB00, 0x6500E900B700CA00, 0x6100EC00B400C200, 0x6000E000B000C000, 0x6700E200BF00CE00,
0x6900E600B200C100, 0x6600EE00BB00CC00, 0x6F00E800B900CD00, 0x6D00E300B100C900, 0x6300E700BC00C600,
0x6800EA00B600C300, 0x6E00E400BD00CF00, 0x6200EB00B800C400, 0x6400E500B300C800, 0xFB008D009A00D500,
0xFA0081009E00D700, 0xFC008F009500DB00, 0xF50089009700DA00, 0xF1008C009400D200, 0xF00080009000D000,
0xF70082009F00DE00, 0xF90086009200D100, 0xF6008E009B00DC00, 0xFF0088009900DD00, 0xFD0083009100D900,
0xF30087009C00D600, 0xF8008A009600D300, 0xFE0084009D00DF00, 0xF2008B009800D400, 0xF40085009300D800,
0xDB003D001A009500, 0xDA0031001E009700, 0xDC003F0015009B00, 0xD500390017009A00, 0xD1003C0014009200,
0xD000300010009000, 0xD70032001F009E00, 0xD900360012009100, 0xD6003E001B009C00, 0xDF00380019009D00,
0xDD00330011009900, 0xD30037001C009600, 0xD8003A0016009300, 0xDE0034001D009F00, 0xD2003B0018009400,
0xD400350013009800, 0x3B007D00CA006500, 0x3A007100CE006700, 0x3C007F00C5006B00, 0x35007900C7006A00,
0x31007C00C4006200, 0x30007000C0006000, 0x37007200CF006E00, 0x39007600C2006100, 0x36007E00CB006C00,
0x3F007800C9006D00, 0x3D007300C1006900, 0x33007700CC006600, 0x38007A00C6006300, 0x3E007400CD006F00,
0x32007B00C8006400, 0x34007500C3006800, 0x8B00AD006A003500, 0x8A00A1006E003700, 0x8C00AF0065003B00,
0x8500A90067003A00, 0x8100AC0064003200, 0x8000A00060003000, 0x8700A2006F003E00, 0x8900A60062003100,
0x8600AE006B003C00, 0x8F00A80069003D00, 0x8D00A30061003900, 0x8300A7006C003600, 0x8800AA0066003300,
0x8E00A4006D003F00, 0x8200AB0068003400, 0x8400A50063003800, 0xEB004D00DA00F500, 0xEA004100DE00F700,
0xEC004F00D500FB00, 0xE5004900D700FA00, 0xE1004C00D400F200, 0xE0004000D000F000, 0xE7004200DF00FE00,
0xE9004600D200F100, 0xE6004E00DB00FC00, 0xEF004800D900FD00, 0xED004300D100F900, 0xE3004700DC00F600,
0xE8004A00D600F300, 0xEE004400DD00FF00, 0xE2004B00D800F400, 0xE4004500D300F800, 0x2B00BD008A004500,
0x2A00B1008E004700, 0x2C00BF0085004B00, 0x2500B90087004A00, 0x2100BC0084004200, 0x2000B00080004000,
0x2700B2008F004E00, 0x2900B60082004100, 0x2600BE008B004C00, 0x2F00B80089004D00, 0x2D00B30081004900,
0x2300B7008C004600, 0x2800BA0086004300, 0x2E00B4008D004F00, 0x2200BB0088004400, 0x2400B50083004800,
0x4B005D003A008500, 0x4A0051003E008700, 0x4C005F0035008B00, 0x4500590037008A00, 0x41005C0034008200,
0x4000500030008000, 0x470052003F008E00, 0x4900560032008100, 0x46005E003B008C00, 0x4F00580039008D00,
0x4D00530031008900, 0x430057003C008600, 0x48005A0036008300, 0x4E0054003D008F00, 0x42005B0038008400,
0x4400550033008800]
T2 = [0xB00B4004E00EC00C, 0xA00B3004D00E500C, 0xC00B2004700E600C, 0x500B8004F00EB00C, 0x100B7004300E900C,
0x000B0004000E000C, 0x700B6004900EA00C, 0x900BA004800ED00C, 0x600B1004A00E300C, 0xF00BB004200EE00C,
0xD00B5004400EF00C, 0x300B9004500E800C, 0x800BD004B00E400C, 0xE00BC004100E700C, 0x200BE004600E100C,
0x400BF004C00E200C, 0xB00A4003E00DC005, 0xA00A3003D00D5005, 0xC00A2003700D6005, 0x500A8003F00DB005,
0x100A7003300D9005, 0x000A0003000D0005, 0x700A6003900DA005, 0x900AA003800DD005, 0x600A1003A00D3005,
0xF00AB003200DE005, 0xD00A5003400DF005, 0x300A9003500D8005, 0x800AD003B00D4005, 0xE00AC003100D7005,
0x200AE003600D1005, 0x400AF003C00D2005, 0xB00C4002E007C006, 0xA00C3002D0075006, 0xC00C200270076006,
0x500C8002F007B006, 0x100C700230079006, 0x000C000200070006, 0x700C60029007A006, 0x900CA0028007D006,
0x600C1002A0073006, 0xF00CB0022007E006, 0xD00C50024007F006, 0x300C900250078006, 0x800CD002B0074006,
0xE00CC00210077006, 0x200CE00260071006, 0x400CF002C0072006, 0xB0054008E00FC00B, 0xA0053008D00F500B,
0xC0052008700F600B, 0x50058008F00FB00B, 0x10057008300F900B, 0x00050008000F000B, 0x70056008900FA00B,
0x9005A008800FD00B, 0x60051008A00F300B, 0xF005B008200FE00B, 0xD0055008400FF00B, 0x30059008500F800B,
0x8005D008B00F400B, 0xE005C008100F700B, 0x2005E008600F100B, 0x4005F008C00F200B, 0xB0014007E003C009,
0xA0013007D0035009, 0xC001200770036009, 0x50018007F003B009, 0x1001700730039009, 0x0001000700030009,
0x700160079003A009, 0x9001A0078003D009, 0x60011007A0033009, 0xF001B0072003E009, 0xD00150074003F009,
0x3001900750038009, 0x8001D007B0034009, 0xE001C00710037009, 0x2001E00760031009, 0x4001F007C0032009,
0xB0004000E000C000, 0xA0003000D0005000, 0xC000200070006000, 0x50008000F000B000, 0x1000700030009000,
0x0000000000000000, 0x700060009000A000, 0x9000A0008000D000, 0x60001000A0003000, 0xF000B0002000E000,
0xD00050004000F000, 0x3000900050008000, 0x8000D000B0004000, 0xE000C00010007000, 0x2000E00060001000,
0x4000F000C0002000, 0xB0074006E009C00A, 0xA0073006D009500A, 0xC00720067009600A, 0x50078006F009B00A,
0x100770063009900A, 0x000700060009000A, 0x700760069009A00A, 0x9007A0068009D00A, 0x60071006A009300A,
0xF007B0062009E00A, 0xD00750064009F00A, 0x300790065009800A, 0x8007D006B009400A, 0xE007C0061009700A,
0x2007E0066009100A, 0x4007F006C009200A, 0xB009400AE008C00D, 0xA009300AD008500D, 0xC009200A7008600D,
0x5009800AF008B00D, 0x1009700A3008900D, 0x0009000A0008000D, 0x7009600A9008A00D, 0x9009A00A8008D00D,
0x6009100AA008300D, 0xF009B00A2008E00D, 0xD009500A4008F00D, 0x3009900A5008800D, 0x8009D00AB008400D,
0xE009C00A1008700D, 0x2009E00A6008100D, 0x4009F00AC008200D, 0xB0064001E00AC003, 0xA0063001D00A5003,
0xC0062001700A6003, 0x50068001F00AB003, 0x10067001300A9003, 0x00060001000A0003, 0x70066001900AA003,
0x9006A001800AD003, 0x60061001A00A3003, 0xF006B001200AE003, 0xD0065001400AF003, 0x30069001500A8003,
0x8006D001B00A4003, 0xE006C001100A7003, 0x2006E001600A1003, 0x4006F001C00A2003, 0xB00F400BE002C00E,
0xA00F300BD002500E, 0xC00F200B7002600E, 0x500F800BF002B00E, 0x100F700B3002900E, 0x000F000B0002000E,
0x700F600B9002A00E, 0x900FA00B8002D00E, 0x600F100BA002300E, 0xF00FB00B2002E00E, 0xD00F500B4002F00E,
0x300F900B5002800E, 0x800FD00BB002400E, 0xE00FC00B1002700E, 0x200FE00B6002100E, 0x400FF00BC002200E,
0xB00D4005E004C00F, 0xA00D3005D004500F, 0xC00D20057004600F, 0x500D8005F004B00F, 0x100D70053004900F,
0x000D00050004000F, 0x700D60059004A00F, 0x900DA0058004D00F, 0x600D1005A004300F, 0xF00DB0052004E00F,
0xD00D50054004F00F, 0x300D90055004800F, 0x800DD005B004400F, 0xE00DC0051004700F, 0x200DE0056004100F,
0x400DF005C004200F, 0xB0034009E005C008, 0xA0033009D0055008, 0xC003200970056008, 0x50038009F005B008,
0x1003700930059008, 0x0003000900050008, 0x700360099005A008, 0x9003A0098005D008, 0x60031009A0053008,
0xF003B0092005E008, 0xD00350094005F008, 0x3003900950058008, 0x8003D009B0054008, 0xE003C00910057008,
0x2003E00960051008, 0x4003F009C0052008, 0xB008400DE00BC004, 0xA008300DD00B5004, 0xC008200D700B6004,
0x5008800DF00BB004, 0x1008700D300B9004, 0x0008000D000B0004, 0x7008600D900BA004, 0x9008A00D800BD004,
0x6008100DA00B3004, 0xF008B00D200BE004, 0xD008500D400BF004, 0x3008900D500B8004, 0x8008D00DB00B4004,
0xE008C00D100B7004, 0x2008E00D600B1004, 0x4008F00DC00B2004, 0xB00E400CE001C007, 0xA00E300CD0015007,
0xC00E200C70016007, 0x500E800CF001B007, 0x100E700C30019007, 0x000E000C00010007, 0x700E600C9001A007,
0x900EA00C8001D007, 0x600E100CA0013007, 0xF00EB00C2001E007, 0xD00E500C4001F007, 0x300E900C50018007,
0x800ED00CB0014007, 0xE00EC00C10017007, 0x200EE00C60011007, 0x400EF00CC0012007, 0xB002400EE006C001,
0xA002300ED0065001, 0xC002200E70066001, 0x5002800EF006B001, 0x1002700E30069001, 0x0002000E00060001,
0x7002600E9006A001, 0x9002A00E8006D001, 0x6002100EA0063001, 0xF002B00E2006E001, 0xD002500E4006F001,
0x3002900E50068001, 0x8002D00EB0064001, 0xE002C00E10067001, 0x2002E00E60061001, 0x4002F00EC0062001,
0xB004400FE00CC002, 0xA004300FD00C5002, 0xC004200F700C6002, 0x5004800FF00CB002, 0x1004700F300C9002,
0x0004000F000C0002, 0x7004600F900CA002, 0x9004A00F800CD002, 0x6004100FA00C3002, 0xF004B00F200CE002,
0xD004500F400CF002, 0x3004900F500C8002, 0x8004D00FB00C4002, 0xE004C00F100C7002, 0x2004E00F600C1002,
0x4004F00FC00C2002]
T3 = [0x0BB004400EE00CC0, 0x0BA004300ED00C50, 0x0BC004200E700C60, 0x0B5004800EF00CB0, 0x0B1004700E300C90,
0x0B0004000E000C00, 0x0B7004600E900CA0, 0x0B9004A00E800CD0, 0x0B6004100EA00C30, 0x0BF004B00E200CE0,
0x0BD004500E400CF0, 0x0B3004900E500C80, 0x0B8004D00EB00C40, 0x0BE004C00E100C70, 0x0B2004E00E600C10,
0x0B4004F00EC00C20, 0x0AB003400DE005C0, 0x0AA003300DD00550, 0x0AC003200D700560, 0x0A5003800DF005B0,
0x0A1003700D300590, 0x0A0003000D000500, 0x0A7003600D9005A0, 0x0A9003A00D8005D0, 0x0A6003100DA00530,
0x0AF003B00D2005E0, 0x0AD003500D4005F0, 0x0A3003900D500580, 0x0A8003D00DB00540, 0x0AE003C00D100570,
0x0A2003E00D600510, 0x0A4003F00DC00520, 0x0CB0024007E006C0, 0x0CA0023007D00650, 0x0CC0022007700660,
0x0C50028007F006B0, 0x0C10027007300690, 0x0C00020007000600, 0x0C700260079006A0, 0x0C9002A0078006D0,
0x0C60021007A00630, 0x0CF002B0072006E0, 0x0CD00250074006F0, 0x0C30029007500680, 0x0C8002D007B00640,
0x0CE002C007100670, 0x0C2002E007600610, 0x0C4002F007C00620, 0x05B008400FE00BC0, 0x05A008300FD00B50,
0x05C008200F700B60, 0x055008800FF00BB0, 0x051008700F300B90, 0x050008000F000B00, 0x057008600F900BA0,
0x059008A00F800BD0, 0x056008100FA00B30, 0x05F008B00F200BE0, 0x05D008500F400BF0, 0x053008900F500B80,
0x058008D00FB00B40, 0x05E008C00F100B70, 0x052008E00F600B10, 0x054008F00FC00B20, 0x01B0074003E009C0,
0x01A0073003D00950, 0x01C0072003700960, 0x0150078003F009B0, 0x0110077003300990, 0x0100070003000900,
0x01700760039009A0, 0x019007A0038009D0, 0x0160071003A00930, 0x01F007B0032009E0, 0x01D00750034009F0,
0x0130079003500980, 0x018007D003B00940, 0x01E007C003100970, 0x012007E003600910, 0x014007F003C00920,
0x00B0004000E000C0, 0x00A0003000D00050, 0x00C0002000700060, 0x0050008000F000B0, 0x0010007000300090,
0x0000000000000000, 0x00700060009000A0, 0x009000A0008000D0, 0x0060001000A00030, 0x00F000B0002000E0,
0x00D00050004000F0, 0x0030009000500080, 0x008000D000B00040, 0x00E000C000100070, 0x002000E000600010,
0x004000F000C00020, 0x07B0064009E00AC0, 0x07A0063009D00A50, 0x07C0062009700A60, 0x0750068009F00AB0,
0x0710067009300A90, 0x0700060009000A00, 0x0770066009900AA0, 0x079006A009800AD0, 0x0760061009A00A30,
0x07F006B009200AE0, 0x07D0065009400AF0, 0x0730069009500A80, 0x078006D009B00A40, 0x07E006C009100A70,
0x072006E009600A10, 0x074006F009C00A20, 0x09B00A4008E00DC0, 0x09A00A3008D00D50, 0x09C00A2008700D60,
0x09500A8008F00DB0, 0x09100A7008300D90, 0x09000A0008000D00, 0x09700A6008900DA0, 0x09900AA008800DD0,
0x09600A1008A00D30, 0x09F00AB008200DE0, 0x09D00A5008400DF0, 0x09300A9008500D80, 0x09800AD008B00D40,
0x09E00AC008100D70, 0x09200AE008600D10, 0x09400AF008C00D20, 0x06B001400AE003C0, 0x06A001300AD00350,
0x06C001200A700360, 0x065001800AF003B0, 0x061001700A300390, 0x060001000A000300, 0x067001600A9003A0,
0x069001A00A8003D0, 0x066001100AA00330, 0x06F001B00A2003E0, 0x06D001500A4003F0, 0x063001900A500380,
0x068001D00AB00340, 0x06E001C00A100370, 0x062001E00A600310, 0x064001F00AC00320, 0x0FB00B4002E00EC0,
0x0FA00B3002D00E50, 0x0FC00B2002700E60, 0x0F500B8002F00EB0, 0x0F100B7002300E90, 0x0F000B0002000E00,
0x0F700B6002900EA0, 0x0F900BA002800ED0, 0x0F600B1002A00E30, 0x0FF00BB002200EE0, 0x0FD00B5002400EF0,
0x0F300B9002500E80, 0x0F800BD002B00E40, 0x0FE00BC002100E70, 0x0F200BE002600E10, 0x0F400BF002C00E20,
0x0DB0054004E00FC0, 0x0DA0053004D00F50, 0x0DC0052004700F60, 0x0D50058004F00FB0, 0x0D10057004300F90,
0x0D00050004000F00, 0x0D70056004900FA0, 0x0D9005A004800FD0, 0x0D60051004A00F30, 0x0DF005B004200FE0,
0x0DD0055004400FF0, 0x0D30059004500F80, 0x0D8005D004B00F40, 0x0DE005C004100F70, 0x0D2005E004600F10,
0x0D4005F004C00F20, 0x03B0094005E008C0, 0x03A0093005D00850, 0x03C0092005700860, 0x0350098005F008B0,
0x0310097005300890, 0x0300090005000800, 0x03700960059008A0, 0x039009A0058008D0, 0x0360091005A00830,
0x03F009B0052008E0, 0x03D00950054008F0, 0x0330099005500880, 0x038009D005B00840, 0x03E009C005100870,
0x032009E005600810, 0x034009F005C00820, 0x08B00D400BE004C0, 0x08A00D300BD00450, 0x08C00D200B700460,
0x08500D800BF004B0, 0x08100D700B300490, 0x08000D000B000400, 0x08700D600B9004A0, 0x08900DA00B8004D0,
0x08600D100BA00430, 0x08F00DB00B2004E0, 0x08D00D500B4004F0, 0x08300D900B500480, 0x08800DD00BB00440,
0x08E00DC00B100470, 0x08200DE00B600410, 0x08400DF00BC00420, 0x0EB00C4001E007C0, 0x0EA00C3001D00750,
0x0EC00C2001700760, 0x0E500C8001F007B0, 0x0E100C7001300790, 0x0E000C0001000700, 0x0E700C60019007A0,
0x0E900CA0018007D0, 0x0E600C1001A00730, 0x0EF00CB0012007E0, 0x0ED00C50014007F0, 0x0E300C9001500780,
0x0E800CD001B00740, 0x0EE00CC001100770, 0x0E200CE001600710, 0x0E400CF001C00720, 0x02B00E4006E001C0,
0x02A00E3006D00150, 0x02C00E2006700160, 0x02500E8006F001B0, 0x02100E7006300190, 0x02000E0006000100,
0x02700E60069001A0, 0x02900EA0068001D0, 0x02600E1006A00130, 0x02F00EB0062001E0, 0x02D00E50064001F0,
0x02300E9006500180, 0x02800ED006B00140, 0x02E00EC006100170, 0x02200EE006600110, 0x02400EF006C00120,
0x04B00F400CE002C0, 0x04A00F300CD00250, 0x04C00F200C700260, 0x04500F800CF002B0, 0x04100F700C300290,
0x04000F000C000200, 0x04700F600C9002A0, 0x04900FA00C8002D0, 0x04600F100CA00230, 0x04F00FB00C2002E0,
0x04D00F500C4002F0, 0x04300F900C500280, 0x04800FD00CB00240, 0x04E00FC00C100270, 0x04200FE00C600210,
0x04400FF00CC00220]
T4 = [0x880011009900BB00, 0x860014009200BA00, 0x840019009D00BC00, 0x830012009100B500, 0x8E0015009B00B100,
0x800010009000B000, 0x8C0018009400B700, 0x87001B009C00B900, 0x82001D009F00B600, 0x850016009300BF00,
0x8A001C009600BD00, 0x81001F009E00B300, 0x89001E009700B800, 0x8B0013009800BE00, 0x8F001A009500B200,
0x8D0017009A00B400, 0x680041002900AB00, 0x660044002200AA00, 0x640049002D00AC00, 0x630042002100A500,
0x6E0045002B00A100, 0x600040002000A000, 0x6C0048002400A700, 0x67004B002C00A900, 0x62004D002F00A600,
0x650046002300AF00, 0x6A004C002600AD00, 0x61004F002E00A300, 0x69004E002700A800, 0x6B0043002800AE00,
0x6F004A002500A200, 0x6D0047002A00A400, 0x48009100D900CB00, 0x46009400D200CA00, 0x44009900DD00CC00,
0x43009200D100C500, 0x4E009500DB00C100, 0x40009000D000C000, 0x4C009800D400C700, 0x47009B00DC00C900,
0x42009D00DF00C600, 0x45009600D300CF00, 0x4A009C00D600CD00, 0x41009F00DE00C300, 0x49009E00D700C800,
0x4B009300D800CE00, 0x4F009A00D500C200, 0x4D009700DA00C400, 0x3800210019005B00, 0x3600240012005A00,
0x340029001D005C00, 0x3300220011005500, 0x3E0025001B005100, 0x3000200010005000, 0x3C00280014005700,
0x37002B001C005900, 0x32002D001F005600, 0x3500260013005F00, 0x3A002C0016005D00, 0x31002F001E005300,
0x39002E0017005800, 0x3B00230018005E00, 0x3F002A0015005200, 0x3D0027001A005400, 0xE8005100B9001B00,
0xE6005400B2001A00, 0xE4005900BD001C00, 0xE3005200B1001500, 0xEE005500BB001100, 0xE0005000B0001000,
0xEC005800B4001700, 0xE7005B00BC001900, 0xE2005D00BF001600, 0xE5005600B3001F00, 0xEA005C00B6001D00,
0xE1005F00BE001300, 0xE9005E00B7001800, 0xEB005300B8001E00, 0xEF005A00B5001200, 0xED005700BA001400,
0x0800010009000B00, 0x0600040002000A00, 0x040009000D000C00, 0x0300020001000500, 0x0E0005000B000100,
0x0000000000000000, 0x0C00080004000700, 0x07000B000C000900, 0x02000D000F000600, 0x0500060003000F00,
0x0A000C0006000D00, 0x01000F000E000300, 0x09000E0007000800, 0x0B00030008000E00, 0x0F000A0005000200,
0x0D0007000A000400, 0xC800810049007B00, 0xC600840042007A00, 0xC40089004D007C00, 0xC300820041007500,
0xCE0085004B007100, 0xC000800040007000, 0xCC00880044007700, 0xC7008B004C007900, 0xC2008D004F007600,
0xC500860043007F00, 0xCA008C0046007D00, 0xC1008F004E007300, 0xC9008E0047007800, 0xCB00830048007E00,
0xCF008A0045007200, 0xCD0087004A007400, 0x7800B100C9009B00, 0x7600B400C2009A00, 0x7400B900CD009C00,
0x7300B200C1009500, 0x7E00B500CB009100, 0x7000B000C0009000, 0x7C00B800C4009700, 0x7700BB00CC009900,
0x7200BD00CF009600, 0x7500B600C3009F00, 0x7A00BC00C6009D00, 0x7100BF00CE009300, 0x7900BE00C7009800,
0x7B00B300C8009E00, 0x7F00BA00C5009200, 0x7D00B700CA009400, 0x2800D100F9006B00, 0x2600D400F2006A00,
0x2400D900FD006C00, 0x2300D200F1006500, 0x2E00D500FB006100, 0x2000D000F0006000, 0x2C00D800F4006700,
0x2700DB00FC006900, 0x2200DD00FF006600, 0x2500D600F3006F00, 0x2A00DC00F6006D00, 0x2100DF00FE006300,
0x2900DE00F7006800, 0x2B00D300F8006E00, 0x2F00DA00F5006200, 0x2D00D700FA006400, 0x580061003900FB00,
0x560064003200FA00, 0x540069003D00FC00, 0x530062003100F500, 0x5E0065003B00F100, 0x500060003000F000,
0x5C0068003400F700, 0x57006B003C00F900, 0x52006D003F00F600, 0x550066003300FF00, 0x5A006C003600FD00,
0x51006F003E00F300, 0x59006E003700F800, 0x5B0063003800FE00, 0x5F006A003500F200, 0x5D0067003A00F400,
0xA800C1006900DB00, 0xA600C4006200DA00, 0xA400C9006D00DC00, 0xA300C2006100D500, 0xAE00C5006B00D100,
0xA000C0006000D000, 0xAC00C8006400D700, 0xA700CB006C00D900, 0xA200CD006F00D600, 0xA500C6006300DF00,
0xAA00CC006600DD00, 0xA100CF006E00D300, 0xA900CE006700D800, 0xAB00C3006800DE00, 0xAF00CA006500D200,
0xAD00C7006A00D400, 0x1800F100E9003B00, 0x1600F400E2003A00, 0x1400F900ED003C00, 0x1300F200E1003500,
0x1E00F500EB003100, 0x1000F000E0003000, 0x1C00F800E4003700, 0x1700FB00EC003900, 0x1200FD00EF003600,
0x1500F600E3003F00, 0x1A00FC00E6003D00, 0x1100FF00EE003300, 0x1900FE00E7003800, 0x1B00F300E8003E00,
0x1F00FA00E5003200, 0x1D00F700EA003400, 0x9800E10079008B00, 0x9600E40072008A00, 0x9400E9007D008C00,
0x9300E20071008500, 0x9E00E5007B008100, 0x9000E00070008000, 0x9C00E80074008700, 0x9700EB007C008900,
0x9200ED007F008600, 0x9500E60073008F00, 0x9A00EC0076008D00, 0x9100EF007E008300, 0x9900EE0077008800,
0x9B00E30078008E00, 0x9F00EA0075008200, 0x9D00E7007A008400, 0xB80031008900EB00, 0xB60034008200EA00,
0xB40039008D00EC00, 0xB30032008100E500, 0xBE0035008B00E100, 0xB00030008000E000, 0xBC0038008400E700,
0xB7003B008C00E900, 0xB2003D008F00E600, 0xB50036008300EF00, 0xBA003C008600ED00, 0xB1003F008E00E300,
0xB9003E008700E800, 0xBB0033008800EE00, 0xBF003A008500E200, 0xBD0037008A00E400, 0xF800A10059002B00,
0xF600A40052002A00, 0xF400A9005D002C00, 0xF300A20051002500, 0xFE00A5005B002100, 0xF000A00050002000,
0xFC00A80054002700, 0xF700AB005C002900, 0xF200AD005F002600, 0xF500A60053002F00, 0xFA00AC0056002D00,
0xF100AF005E002300, 0xF900AE0057002800, 0xFB00A30058002E00, 0xFF00AA0055002200, 0xFD00A7005A002400,
0xD8007100A9004B00, 0xD6007400A2004A00, 0xD4007900AD004C00, 0xD3007200A1004500, 0xDE007500AB004100,
0xD0007000A0004000, 0xDC007800A4004700, 0xD7007B00AC004900, 0xD2007D00AF004600, 0xD5007600A3004F00,
0xDA007C00A6004D00, 0xD1007F00AE004300, 0xD9007E00A7004800, 0xDB007300A8004E00, 0xDF007A00A5004200,
0xDD007700AA004400]
T5 = [0x00880011009900BB, 0x00860014009200BA, 0x00840019009D00BC, 0x00830012009100B5, 0x008E0015009B00B1,
0x00800010009000B0, 0x008C0018009400B7, 0x0087001B009C00B9, 0x0082001D009F00B6, 0x00850016009300BF,
0x008A001C009600BD, 0x0081001F009E00B3, 0x0089001E009700B8, 0x008B0013009800BE, 0x008F001A009500B2,
0x008D0017009A00B4, 0x00680041002900AB, 0x00660044002200AA, 0x00640049002D00AC, 0x00630042002100A5,
0x006E0045002B00A1, 0x00600040002000A0, 0x006C0048002400A7, 0x0067004B002C00A9, 0x0062004D002F00A6,
0x00650046002300AF, 0x006A004C002600AD, 0x0061004F002E00A3, 0x0069004E002700A8, 0x006B0043002800AE,
0x006F004A002500A2, 0x006D0047002A00A4, 0x0048009100D900CB, 0x0046009400D200CA, 0x0044009900DD00CC,
0x0043009200D100C5, 0x004E009500DB00C1, 0x0040009000D000C0, 0x004C009800D400C7, 0x0047009B00DC00C9,
0x0042009D00DF00C6, 0x0045009600D300CF, 0x004A009C00D600CD, 0x0041009F00DE00C3, 0x0049009E00D700C8,
0x004B009300D800CE, 0x004F009A00D500C2, 0x004D009700DA00C4, 0x003800210019005B, 0x003600240012005A,
0x00340029001D005C, 0x0033002200110055, 0x003E0025001B0051, 0x0030002000100050, 0x003C002800140057,
0x0037002B001C0059, 0x0032002D001F0056, 0x003500260013005F, 0x003A002C0016005D, 0x0031002F001E0053,
0x0039002E00170058, 0x003B00230018005E, 0x003F002A00150052, 0x003D0027001A0054, 0x00E8005100B9001B,
0x00E6005400B2001A, 0x00E4005900BD001C, 0x00E3005200B10015, 0x00EE005500BB0011, 0x00E0005000B00010,
0x00EC005800B40017, 0x00E7005B00BC0019, 0x00E2005D00BF0016, 0x00E5005600B3001F, 0x00EA005C00B6001D,
0x00E1005F00BE0013, 0x00E9005E00B70018, 0x00EB005300B8001E, 0x00EF005A00B50012, 0x00ED005700BA0014,
0x000800010009000B, 0x000600040002000A, 0x00040009000D000C, 0x0003000200010005, 0x000E0005000B0001,
0x0000000000000000, 0x000C000800040007, 0x0007000B000C0009, 0x0002000D000F0006, 0x000500060003000F,
0x000A000C0006000D, 0x0001000F000E0003, 0x0009000E00070008, 0x000B00030008000E, 0x000F000A00050002,
0x000D0007000A0004, 0x00C800810049007B, 0x00C600840042007A, 0x00C40089004D007C, 0x00C3008200410075,
0x00CE0085004B0071, 0x00C0008000400070, 0x00CC008800440077, 0x00C7008B004C0079, 0x00C2008D004F0076,
0x00C500860043007F, 0x00CA008C0046007D, 0x00C1008F004E0073, 0x00C9008E00470078, 0x00CB00830048007E,
0x00CF008A00450072, 0x00CD0087004A0074, 0x007800B100C9009B, 0x007600B400C2009A, 0x007400B900CD009C,
0x007300B200C10095, 0x007E00B500CB0091, 0x007000B000C00090, 0x007C00B800C40097, 0x007700BB00CC0099,
0x007200BD00CF0096, 0x007500B600C3009F, 0x007A00BC00C6009D, 0x007100BF00CE0093, 0x007900BE00C70098,
0x007B00B300C8009E, 0x007F00BA00C50092, 0x007D00B700CA0094, 0x002800D100F9006B, 0x002600D400F2006A,
0x002400D900FD006C, 0x002300D200F10065, 0x002E00D500FB0061, 0x002000D000F00060, 0x002C00D800F40067,
0x002700DB00FC0069, 0x002200DD00FF0066, 0x002500D600F3006F, 0x002A00DC00F6006D, 0x002100DF00FE0063,
0x002900DE00F70068, 0x002B00D300F8006E, 0x002F00DA00F50062, 0x002D00D700FA0064, 0x00580061003900FB,
0x00560064003200FA, 0x00540069003D00FC, 0x00530062003100F5, 0x005E0065003B00F1, 0x00500060003000F0,
0x005C0068003400F7, 0x0057006B003C00F9, 0x0052006D003F00F6, 0x00550066003300FF, 0x005A006C003600FD,
0x0051006F003E00F3, 0x0059006E003700F8, 0x005B0063003800FE, 0x005F006A003500F2, 0x005D0067003A00F4,
0x00A800C1006900DB, 0x00A600C4006200DA, 0x00A400C9006D00DC, 0x00A300C2006100D5, 0x00AE00C5006B00D1,
0x00A000C0006000D0, 0x00AC00C8006400D7, 0x00A700CB006C00D9, 0x00A200CD006F00D6, 0x00A500C6006300DF,
0x00AA00CC006600DD, 0x00A100CF006E00D3, 0x00A900CE006700D8, 0x00AB00C3006800DE, 0x00AF00CA006500D2,
0x00AD00C7006A00D4, 0x001800F100E9003B, 0x001600F400E2003A, 0x001400F900ED003C, 0x001300F200E10035,
0x001E00F500EB0031, 0x001000F000E00030, 0x001C00F800E40037, 0x001700FB00EC0039, 0x001200FD00EF0036,
0x001500F600E3003F, 0x001A00FC00E6003D, 0x001100FF00EE0033, 0x001900FE00E70038, 0x001B00F300E8003E,
0x001F00FA00E50032, 0x001D00F700EA0034, 0x009800E10079008B, 0x009600E40072008A, 0x009400E9007D008C,
0x009300E200710085, 0x009E00E5007B0081, 0x009000E000700080, 0x009C00E800740087, 0x009700EB007C0089,
0x009200ED007F0086, 0x009500E60073008F, 0x009A00EC0076008D, 0x009100EF007E0083, 0x009900EE00770088,
0x009B00E30078008E, 0x009F00EA00750082, 0x009D00E7007A0084, 0x00B80031008900EB, 0x00B60034008200EA,
0x00B40039008D00EC, 0x00B30032008100E5, 0x00BE0035008B00E1, 0x00B00030008000E0, 0x00BC0038008400E7,
0x00B7003B008C00E9, 0x00B2003D008F00E6, 0x00B50036008300EF, 0x00BA003C008600ED, 0x00B1003F008E00E3,
0x00B9003E008700E8, 0x00BB0033008800EE, 0x00BF003A008500E2, 0x00BD0037008A00E4, 0x00F800A10059002B,
0x00F600A40052002A, 0x00F400A9005D002C, 0x00F300A200510025, 0x00FE00A5005B0021, 0x00F000A000500020,
0x00FC00A800540027, 0x00F700AB005C0029, 0x00F200AD005F0026, 0x00F500A60053002F, 0x00FA00AC0056002D,
0x00F100AF005E0023, 0x00F900AE00570028, 0x00FB00A30058002E, 0x00FF00AA00550022, 0x00FD00A7005A0024,
0x00D8007100A9004B, 0x00D6007400A2004A, 0x00D4007900AD004C, 0x00D3007200A10045, 0x00DE007500AB0041,
0x00D0007000A00040, 0x00DC007800A40047, 0x00D7007B00AC0049, 0x00D2007D00AF0046, 0x00D5007600A3004F,
0x00DA007C00A6004D, 0x00D1007F00AE0043, 0x00D9007E00A70048, 0x00DB007300A8004E, 0x00DF007A00A50042,
0x00DD007700AA0044]
T6 = [0x0DD006600EE00BB0, 0x0D1006B00ED00BA0, 0x0DF006300E700BC0, 0x0D9006C00EF00B50, 0x0DC006D00E300B10,
0x0D0006000E000B00, 0x0D2006500E900B70, 0x0D6006F00E800B90, 0x0DE006800EA00B60, 0x0D8006700E200BF0,
0x0D3006E00E400BD0, 0x0D7006400E500B30, 0x0DA006200EB00B80, 0x0D4006A00E100BE0, 0x0DB006900E600B20,
0x0D5006100EC00B40, 0x01D00B600DE00AB0, 0x01100BB00DD00AA0, 0x01F00B300D700AC0, 0x01900BC00DF00A50,
0x01C00BD00D300A10, 0x01000B000D000A00, 0x01200B500D900A70, 0x01600BF00D800A90, 0x01E00B800DA00A60,
0x01800B700D200AF0, 0x01300BE00D400AD0, 0x01700B400D500A30, 0x01A00B200DB00A80, 0x01400BA00D100AE0,
0x01B00B900D600A20, 0x01500B100DC00A40, 0x0FD0036007E00CB0, 0x0F1003B007D00CA0, 0x0FF0033007700CC0,
0x0F9003C007F00C50, 0x0FC003D007300C10, 0x0F00030007000C00, 0x0F20035007900C70, 0x0F6003F007800C90,
0x0FE0038007A00C60, 0x0F80037007200CF0, 0x0F3003E007400CD0, 0x0F70034007500C30, 0x0FA0032007B00C80,
0x0F4003A007100CE0, 0x0FB0039007600C20, 0x0F50031007C00C40, 0x09D00C600FE005B0, 0x09100CB00FD005A0,
0x09F00C300F7005C0, 0x09900CC00FF00550, 0x09C00CD00F300510, 0x09000C000F000500, 0x09200C500F900570,
0x09600CF00F800590, 0x09E00C800FA00560, 0x09800C700F2005F0, 0x09300CE00F4005D0, 0x09700C400F500530,
0x09A00C200FB00580, 0x09400CA00F1005E0, 0x09B00C900F600520, 0x09500C100FC00540, 0x0CD00D6003E001B0,
0x0C100DB003D001A0, 0x0CF00D30037001C0, 0x0C900DC003F00150, 0x0CC00DD003300110, 0x0C000D0003000100,
0x0C200D5003900170, 0x0C600DF003800190, 0x0CE00D8003A00160, 0x0C800D70032001F0, 0x0C300DE0034001D0,
0x0C700D4003500130, 0x0CA00D2003B00180, 0x0C400DA0031001E0, 0x0CB00D9003600120, 0x0C500D1003C00140,
0x00D0006000E000B0, 0x001000B000D000A0, 0x00F00030007000C0, 0x009000C000F00050, 0x00C000D000300010,
0x0000000000000000, 0x0020005000900070, 0x006000F000800090, 0x00E0008000A00060, 0x00800070002000F0,
0x003000E0004000D0, 0x0070004000500030, 0x00A0002000B00080, 0x004000A0001000E0, 0x00B0009000600020,
0x0050001000C00040, 0x02D0056009E007B0, 0x021005B009D007A0, 0x02F00530097007C0, 0x029005C009F00750,
0x02C005D009300710, 0x0200050009000700, 0x0220055009900770, 0x026005F009800790, 0x02E0058009A00760,
0x02800570092007F0, 0x023005E0094007D0, 0x0270054009500730, 0x02A0052009B00780, 0x024005A0091007E0,
0x02B0059009600720, 0x0250051009C00740, 0x06D00F6008E009B0, 0x06100FB008D009A0, 0x06F00F30087009C0,
0x06900FC008F00950, 0x06C00FD008300910, 0x06000F0008000900, 0x06200F5008900970, 0x06600FF008800990,
0x06E00F8008A00960, 0x06800F70082009F0, 0x06300FE0084009D0, 0x06700F4008500930, 0x06A00F2008B00980,
0x06400FA0081009E0, 0x06B00F9008600920, 0x06500F1008C00940, 0x0ED008600AE006B0, 0x0E1008B00AD006A0,
0x0EF008300A7006C0, 0x0E9008C00AF00650, 0x0EC008D00A300610, 0x0E0008000A000600, 0x0E2008500A900670,
0x0E6008F00A800690, 0x0EE008800AA00660, 0x0E8008700A2006F0, 0x0E3008E00A4006D0, 0x0E7008400A500630,
0x0EA008200AB00680, 0x0E4008A00A1006E0, 0x0EB008900A600620, 0x0E5008100AC00640, 0x08D0076002E00FB0,
0x081007B002D00FA0, 0x08F0073002700FC0, 0x089007C002F00F50, 0x08C007D002300F10, 0x0800070002000F00,
0x0820075002900F70, 0x086007F002800F90, 0x08E0078002A00F60, 0x0880077002200FF0, 0x083007E002400FD0,
0x0870074002500F30, 0x08A0072002B00F80, 0x084007A002100FE0, 0x08B0079002600F20, 0x0850071002C00F40,
0x03D00E6004E00DB0, 0x03100EB004D00DA0, 0x03F00E3004700DC0, 0x03900EC004F00D50, 0x03C00ED004300D10,
0x03000E0004000D00, 0x03200E5004900D70, 0x03600EF004800D90, 0x03E00E8004A00D60, 0x03800E7004200DF0,
0x03300EE004400DD0, 0x03700E4004500D30, 0x03A00E2004B00D80, 0x03400EA004100DE0, 0x03B00E9004600D20,
0x03500E1004C00D40, 0x07D0046005E003B0, 0x071004B005D003A0, 0x07F00430057003C0, 0x079004C005F00350,
0x07C004D005300310, 0x0700040005000300, 0x0720045005900370, 0x076004F005800390, 0x07E0048005A00360,
0x07800470052003F0, 0x073004E0054003D0, 0x0770044005500330, 0x07A0042005B00380, 0x074004A0051003E0,
0x07B0049005600320, 0x0750041005C00340, 0x0AD002600BE008B0, 0x0A1002B00BD008A0, 0x0AF002300B7008C0,
0x0A9002C00BF00850, 0x0AC002D00B300810, 0x0A0002000B000800, 0x0A2002500B900870, 0x0A6002F00B800890,
0x0AE002800BA00860, 0x0A8002700B2008F0, 0x0A3002E00B4008D0, 0x0A7002400B500830, 0x0AA002200BB00880,
0x0A4002A00B1008E0, 0x0AB002900B600820, 0x0A5002100BC00840, 0x04D00A6001E00EB0, 0x04100AB001D00EA0,
0x04F00A3001700EC0, 0x04900AC001F00E50, 0x04C00AD001300E10, 0x04000A0001000E00, 0x04200A5001900E70,
0x04600AF001800E90, 0x04E00A8001A00E60, 0x04800A7001200EF0, 0x04300AE001400ED0, 0x04700A4001500E30,
0x04A00A2001B00E80, 0x04400AA001100EE0, 0x04B00A9001600E20, 0x04500A1001C00E40, 0x0BD0096006E002B0,
0x0B1009B006D002A0, 0x0BF00930067002C0, 0x0B9009C006F00250, 0x0BC009D006300210, 0x0B00090006000200,
0x0B20095006900270, 0x0B6009F006800290, 0x0BE0098006A00260, 0x0B800970062002F0, 0x0B3009E0064002D0,
0x0B70094006500230, 0x0BA0092006B00280, 0x0B4009A0061002E0, 0x0BB0099006600220, 0x0B50091006C00240,
0x05D001600CE004B0, 0x051001B00CD004A0, 0x05F001300C7004C0, 0x059001C00CF00450, 0x05C001D00C300410,
0x050001000C000400, 0x052001500C900470, 0x056001F00C800490, 0x05E001800CA00460, 0x058001700C2004F0,
0x053001E00C4004D0, 0x057001400C500430, 0x05A001200CB00480, 0x054001A00C1004E0, 0x05B001900C600420,
0x055001100CC00440]
T7 = [0xD00D6006E00EB00B, 0x100DB006D00EA00B, 0xF00D3006700EC00B, 0x900DC006F00E500B, 0xC00DD006300E100B,
0x000D0006000E000B, 0x200D5006900E700B, 0x600DF006800E900B, 0xE00D8006A00E600B, 0x800D7006200EF00B,
0x300DE006400ED00B, 0x700D4006500E300B, 0xA00D2006B00E800B, 0x400DA006100EE00B, 0xB00D9006600E200B,
0x500D1006C00E400B, 0xD001600BE00DB00A, 0x1001B00BD00DA00A, 0xF001300B700DC00A, 0x9001C00BF00D500A,
0xC001D00B300D100A, 0x0001000B000D000A, 0x2001500B900D700A, 0x6001F00B800D900A, 0xE001800BA00D600A,
0x8001700B200DF00A, 0x3001E00B400DD00A, 0x7001400B500D300A, 0xA001200BB00D800A, 0x4001A00B100DE00A,
0xB001900B600D200A, 0x5001100BC00D400A, 0xD00F6003E007B00C, 0x100FB003D007A00C, 0xF00F30037007C00C,
0x900FC003F007500C, 0xC00FD0033007100C, 0x000F00030007000C, 0x200F50039007700C, 0x600FF0038007900C,
0xE00F8003A007600C, 0x800F70032007F00C, 0x300FE0034007D00C, 0x700F40035007300C, 0xA00F2003B007800C,
0x400FA0031007E00C, 0xB00F90036007200C, 0x500F1003C007400C, 0xD009600CE00FB005, 0x1009B00CD00FA005,
0xF009300C700FC005, 0x9009C00CF00F5005, 0xC009D00C300F1005, 0x0009000C000F0005, 0x2009500C900F7005,
0x6009F00C800F9005, 0xE009800CA00F6005, 0x8009700C200FF005, 0x3009E00C400FD005, 0x7009400C500F3005,
0xA009200CB00F8005, 0x4009A00C100FE005, 0xB009900C600F2005, 0x5009100CC00F4005, 0xD00C600DE003B001,
0x100CB00DD003A001, 0xF00C300D7003C001, 0x900CC00DF0035001, 0xC00CD00D30031001, 0x000C000D00030001,
0x200C500D90037001, 0x600CF00D80039001, 0xE00C800DA0036001, 0x800C700D2003F001, 0x300CE00D4003D001,
0x700C400D50033001, 0xA00C200DB0038001, 0x400CA00D1003E001, 0xB00C900D60032001, 0x500C100DC0034001,
0xD0006000E000B000, 0x1000B000D000A000, 0xF00030007000C000, 0x9000C000F0005000, 0xC000D00030001000,
0x0000000000000000, 0x2000500090007000, 0x6000F00080009000, 0xE0008000A0006000, 0x800070002000F000,
0x3000E0004000D000, 0x7000400050003000, 0xA0002000B0008000, 0x4000A0001000E000, 0xB000900060002000,
0x50001000C0004000, 0xD0026005E009B007, 0x1002B005D009A007, 0xF00230057009C007, 0x9002C005F0095007,
0xC002D00530091007, 0x0002000500090007, 0x2002500590097007, 0x6002F00580099007, 0xE0028005A0096007,
0x800270052009F007, 0x3002E0054009D007, 0x7002400550093007, 0xA0022005B0098007, 0x4002A0051009E007,
0xB002900560092007, 0x50021005C0094007, 0xD006600FE008B009, 0x1006B00FD008A009, 0xF006300F7008C009,
0x9006C00FF0085009, 0xC006D00F30081009, 0x0006000F00080009, 0x2006500F90087009, 0x6006F00F80089009,
0xE006800FA0086009, 0x8006700F2008F009, 0x3006E00F4008D009, 0x7006400F50083009, 0xA006200FB0088009,
0x4006A00F1008E009, 0xB006900F60082009, 0x5006100FC0084009, 0xD00E6008E00AB006, 0x100EB008D00AA006,
0xF00E3008700AC006, 0x900EC008F00A5006, 0xC00ED008300A1006, 0x000E0008000A0006, 0x200E5008900A7006,
0x600EF008800A9006, 0xE00E8008A00A6006, 0x800E7008200AF006, 0x300EE008400AD006, 0x700E4008500A3006,
0xA00E2008B00A8006, 0x400EA008100AE006, 0xB00E9008600A2006, 0x500E1008C00A4006, 0xD0086007E002B00F,
0x1008B007D002A00F, 0xF00830077002C00F, 0x9008C007F002500F, 0xC008D0073002100F, 0x000800070002000F,
0x200850079002700F, 0x6008F0078002900F, 0xE0088007A002600F, 0x800870072002F00F, 0x3008E0074002D00F,
0x700840075002300F, 0xA0082007B002800F, 0x4008A0071002E00F, 0xB00890076002200F, 0x50081007C002400F,
0xD003600EE004B00D, 0x1003B00ED004A00D, 0xF003300E7004C00D, 0x9003C00EF004500D, 0xC003D00E3004100D,
0x0003000E0004000D, 0x2003500E9004700D, 0x6003F00E8004900D, 0xE003800EA004600D, 0x8003700E2004F00D,
0x3003E00E4004D00D, 0x7003400E5004300D, 0xA003200EB004800D, 0x4003A00E1004E00D, 0xB003900E6004200D,
0x5003100EC004400D, 0xD0076004E005B003, 0x1007B004D005A003, 0xF00730047005C003, 0x9007C004F0055003,
0xC007D00430051003, 0x0007000400050003, 0x2007500490057003, 0x6007F00480059003, 0xE0078004A0056003,
0x800770042005F003, 0x3007E0044005D003, 0x7007400450053003, 0xA0072004B0058003, 0x4007A0041005E003,
0xB007900460052003, 0x50071004C0054003, 0xD00A6002E00BB008, 0x100AB002D00BA008, 0xF00A3002700BC008,
0x900AC002F00B5008, 0xC00AD002300B1008, 0x000A0002000B0008, 0x200A5002900B7008, 0x600AF002800B9008,
0xE00A8002A00B6008, 0x800A7002200BF008, 0x300AE002400BD008, 0x700A4002500B3008, 0xA00A2002B00B8008,
0x400AA002100BE008, 0xB00A9002600B2008, 0x500A1002C00B4008, 0xD004600AE001B00E, 0x1004B00AD001A00E,
0xF004300A7001C00E, 0x9004C00AF001500E, 0xC004D00A3001100E, 0x0004000A0001000E, 0x2004500A9001700E,
0x6004F00A8001900E, 0xE004800AA001600E, 0x8004700A2001F00E, 0x3004E00A4001D00E, 0x7004400A5001300E,
0xA004200AB001800E, 0x4004A00A1001E00E, 0xB004900A6001200E, 0x5004100AC001400E, 0xD00B6009E006B002,
0x100BB009D006A002, 0xF00B30097006C002, 0x900BC009F0065002, 0xC00BD00930061002, 0x000B000900060002,
0x200B500990067002, 0x600BF00980069002, 0xE00B8009A0066002, 0x800B70092006F002, 0x300BE0094006D002,
0x700B400950063002, 0xA00B2009B0068002, 0x400BA0091006E002, 0xB00B900960062002, 0x500B1009C0064002,
0xD0056001E00CB004, 0x1005B001D00CA004, 0xF0053001700CC004, 0x9005C001F00C5004, 0xC005D001300C1004,
0x00050001000C0004, 0x20055001900C7004, 0x6005F001800C9004, 0xE0058001A00C6004, 0x80057001200CF004,
0x3005E001400CD004, 0x70054001500C3004, 0xA0052001B00C8004, 0x4005A001100CE004, 0xB0059001600C2004,
0x50051001C00C4004]
RCandKeySizeConstLong = [0x0013000200140005, 0x0033000200340005, 0x0073000200740005, 0x0073001200740015, 0x0073003200740035, 0x0063007200640075, 0x0053007200540075, 0x0033007200340075, 0x0073006200740065, 0x0073005200740055, 0x0063003200640035, 0x0043007200440075, 0x0013007200140075, 0x0033006200340065, 0x0073004200740045, 0x0063001200640015, 0x0053003200540035, 0x0023007200240075, 0x0053006200540065, 0x0033005200340055, 0x0063002200640025, 0x0043005200440055, 0x0003003200040035, 0x0003006200040065, 0x0013004200140045, 0x0023000200240005, 0x0053000200540005, 0x0033001200340015, 0x0073002200740025, 0x0063005200640055, 0x0043003200440035, 0x0003007200040075, 0x0013006200140065, 0x0033004200340045, 0x0063000200640005, 0x0053001200540015, 0x0033003200340035, 0x0063006200640065, 0x0053005200540055, 0x0023003200240035, 0x0043006200440065, 0x0013005200140055, 0x0023002200240025, 0x0043004200440045, 0x0003001200040015, 0x0013002200140025, 0x0023004200240045, 0x0043000200440005]
@classmethod
def byte2ulong(cls, b, offSet):
x = 0
for i in range(7, -1, -1):
x = (x << 8) ^ b[i + offSet]
return x
@classmethod
def ulong2byte(cls, x):
b = [None] * 8
for i in range(0, 8, 1):
b[i] = ((x >> i * 8) & 0xFF)
return b
@classmethod
def ulong2byteCopy(cls, x, b, offSet):
for i in range(0, 8, 1):
b[offSet + i] = ((x >> i * 8) & 0xFF)
return
@classmethod
def AddKey(cls, state, roundKey):
return state ^ roundKey
@classmethod
def AddConstants(cls, state, round):
return state ^ cls.RCandKeySizeConstLong[round]
@classmethod
def SubCellShiftRowAndMixColumns(cls, state):
temp = cls.T0[state >> 0 & 0xFF]
temp ^= cls.T1[state >> 8 & 0xFF]
temp ^= cls.T2[state >> 16 & 0xFF]
temp ^= cls.T3[state >> 24 & 0xFF]
temp ^= cls.T4[state >> 32 & 0xFF]
temp ^= cls.T5[state >> 40 & 0xFF]
temp ^= cls.T6[state >> 48 & 0xFF]
temp ^= cls.T7[state >> 56 & 0xFF]
return temp
@classmethod
def Step(cls, state, step):
for i in range(0, 4, 1):
state = cls.AddConstants(state, (step * 4 + i))
state = cls.SubCellShiftRowAndMixColumns(state)
return state
@classmethod
def EncryptOneBlock(cls, state, sk0, sk1):
for i in range(0, 12, 2):
state = cls.AddKey(state, sk0)
state = cls.Step(state, i)
state = cls.AddKey(state, sk1)
state = cls.Step(state, i+1)
state = cls.AddKey(state, sk0)
return state
@classmethod
def Encrypt(cls, plainText, key):
cipherText = [None] * len(plainText)
sk0 = cls.byte2ulong(key, 0)
sk2 = [None] * 8
for i in range(0, 8, 1):
sk2[i] = key[(8 + i) % 10]
sk1 = cls.byte2ulong(sk2, 0)
for i in range(0, len(plainText), 8):
state = cls.byte2ulong(plainText, i)
state = cls.EncryptOneBlock(state, sk0, sk1)
cls.ulong2byteCopy(state, cipherText, i)
return cipherText
| 99.189024
| 989
| 0.797443
| 2,384
| 48,801
| 16.322987
| 0.901846
| 0.002056
| 0.001079
| 0.001979
| 0.005422
| 0.002107
| 0.001388
| 0.001388
| 0.000977
| 0
| 0
| 0.716149
| 0.153419
| 48,801
| 492
| 990
| 99.189024
| 0.225759
| 0
| 0
| 0.033264
| 0
| 0
| 0
| 0
| 0
| 0
| 0.781768
| 0
| 0
| 1
| 0.018711
| false
| 0
| 0
| 0.004158
| 0.060291
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ab384ec217f4b0bfe21f66d53b90a03d4252c3f6
| 471
|
py
|
Python
|
givercity/cube.py
|
GiverPlay007/GiverCity
|
3337c0904b56d266c00e8d2731d5f4b6dad71cb6
|
[
"MIT"
] | 1
|
2022-01-12T02:09:16.000Z
|
2022-01-12T02:09:16.000Z
|
givercity/cube.py
|
GiverPlay007/giverland.py
|
3337c0904b56d266c00e8d2731d5f4b6dad71cb6
|
[
"MIT"
] | null | null | null |
givercity/cube.py
|
GiverPlay007/giverland.py
|
3337c0904b56d266c00e8d2731d5f4b6dad71cb6
|
[
"MIT"
] | null | null | null |
from OpenGL.GL import *
vertices = (
(1, -1, -1),
(1, 1, -1),
(-1, 1, -1),
(-1, -1, -1),
(1, -1, 1),
(1, 1, 1),
(-1, -1, 1),
(-1, 1, 1)
)
edges = (
(0, 1),
(0, 3),
(0, 4),
(2, 1),
(2, 3),
(2, 7),
(6, 3),
(6, 4),
(6, 7),
(5, 1),
(5, 4),
(5, 7)
)
def cube():
glBegin(GL_LINES)
for edge in edges:
for vertex in edge:
glVertex3fv(vertices[vertex])
glEnd()
| 12.076923
| 41
| 0.339703
| 71
| 471
| 2.239437
| 0.338028
| 0.289308
| 0.415094
| 0.528302
| 0.150943
| 0.150943
| 0.150943
| 0.150943
| 0.150943
| 0.150943
| 0
| 0.175627
| 0.407643
| 471
| 38
| 42
| 12.394737
| 0.394265
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.032258
| false
| 0
| 0.032258
| 0
| 0.064516
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ab45043bc93d821a78407e5b4e0309bfc2192982
| 177
|
py
|
Python
|
locale/pot/api/core/_autosummary/pyvista-ExplicitStructuredGrid-compute_connections-1.py
|
tkoyama010/pyvista-doc-translations
|
23bb813387b7f8bfe17e86c2244d5dd2243990db
|
[
"MIT"
] | 4
|
2020-08-07T08:19:19.000Z
|
2020-12-04T09:51:11.000Z
|
locale/pot/api/core/_autosummary/pyvista-ExplicitStructuredGrid-compute_connections-1.py
|
tkoyama010/pyvista-doc-translations
|
23bb813387b7f8bfe17e86c2244d5dd2243990db
|
[
"MIT"
] | 19
|
2020-08-06T00:24:30.000Z
|
2022-03-30T19:22:24.000Z
|
locale/pot/api/core/_autosummary/pyvista-ExplicitStructuredGrid-compute_connections-1.py
|
tkoyama010/pyvista-doc-translations
|
23bb813387b7f8bfe17e86c2244d5dd2243990db
|
[
"MIT"
] | 1
|
2021-03-09T07:50:40.000Z
|
2021-03-09T07:50:40.000Z
|
from pyvista import examples
grid = examples.load_explicit_structured() # doctest:+SKIP
grid.compute_connections() # doctest:+SKIP
grid.plot(show_edges=True) # doctest:+SKIP
| 35.4
| 59
| 0.785311
| 23
| 177
| 5.869565
| 0.695652
| 0.244444
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101695
| 177
| 4
| 60
| 44.25
| 0.849057
| 0.231638
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ab5b8e6d696ce1e9ce3eafd4016b3d20518c7619
| 59
|
py
|
Python
|
src/arcrest/__init__.py
|
PyBigos/ArcREST
|
764e9fdcd6eff2a1cf9f371fc39e6c60340f809d
|
[
"Apache-2.0"
] | null | null | null |
src/arcrest/__init__.py
|
PyBigos/ArcREST
|
764e9fdcd6eff2a1cf9f371fc39e6c60340f809d
|
[
"Apache-2.0"
] | null | null | null |
src/arcrest/__init__.py
|
PyBigos/ArcREST
|
764e9fdcd6eff2a1cf9f371fc39e6c60340f809d
|
[
"Apache-2.0"
] | null | null | null |
import ags
import agol
#import webmap
__version__ = "1.0.7"
| 14.75
| 21
| 0.762712
| 10
| 59
| 4.1
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058824
| 0.135593
| 59
| 4
| 21
| 14.75
| 0.745098
| 0.220339
| 0
| 0
| 0
| 0
| 0.108696
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
db591537b359dcbc9d13fe95a9bdefe6de365bc8
| 201
|
py
|
Python
|
Mundo3/Listas/lista006.py
|
JoaoPauloPereirax/Python-Study
|
806dce740b0b734085aeff8d6822ef0bbc001f5a
|
[
"MIT"
] | null | null | null |
Mundo3/Listas/lista006.py
|
JoaoPauloPereirax/Python-Study
|
806dce740b0b734085aeff8d6822ef0bbc001f5a
|
[
"MIT"
] | null | null | null |
Mundo3/Listas/lista006.py
|
JoaoPauloPereirax/Python-Study
|
806dce740b0b734085aeff8d6822ef0bbc001f5a
|
[
"MIT"
] | null | null | null |
'''Crie um programa onde o usuário digite uma expressão qualquer que use parênteses. Seu aplicativo deverá analisar se a expressão passada está com os parênteses abertos e fechados na ordem correta'''
| 100.5
| 200
| 0.810945
| 31
| 201
| 5.258065
| 0.935484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154229
| 201
| 1
| 201
| 201
| 0.958824
| 0.965174
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
db5d3d978dcd386caab29ca3aa6e0468b7dc2bdc
| 275
|
py
|
Python
|
{{cookiecutter.project_slug}}/workspace/app/db/base_class.py
|
Arya-ai/thresher
|
11c7208e1c2ec553192b20dc87af779b673171e1
|
[
"MIT"
] | null | null | null |
{{cookiecutter.project_slug}}/workspace/app/db/base_class.py
|
Arya-ai/thresher
|
11c7208e1c2ec553192b20dc87af779b673171e1
|
[
"MIT"
] | null | null | null |
{{cookiecutter.project_slug}}/workspace/app/db/base_class.py
|
Arya-ai/thresher
|
11c7208e1c2ec553192b20dc87af779b673171e1
|
[
"MIT"
] | 1
|
2020-11-10T11:15:55.000Z
|
2020-11-10T11:15:55.000Z
|
from sqlalchemy.ext.declarative import declarative_base, declared_attr
class CustomBase(object):
""" Generates __tablename__ automatically """
@declared_attr
def __tablename__(cls):
return cls.__name__.lower()
Base = declarative_base(cls=CustomBase)
| 21.153846
| 70
| 0.749091
| 29
| 275
| 6.551724
| 0.655172
| 0.157895
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.163636
| 275
| 12
| 71
| 22.916667
| 0.826087
| 0.134545
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0.166667
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
db6bc3b584a8833e7d2b08bfd00d3f214d7315eb
| 896
|
py
|
Python
|
py3canvas/tests/assignment_extensions.py
|
tylerclair/py3canvas
|
7485d458606b65200f0ffa5bbe597a9d0bee189f
|
[
"MIT"
] | null | null | null |
py3canvas/tests/assignment_extensions.py
|
tylerclair/py3canvas
|
7485d458606b65200f0ffa5bbe597a9d0bee189f
|
[
"MIT"
] | null | null | null |
py3canvas/tests/assignment_extensions.py
|
tylerclair/py3canvas
|
7485d458606b65200f0ffa5bbe597a9d0bee189f
|
[
"MIT"
] | null | null | null |
"""AssignmentExtensions API Tests for Version 1.0.
This is a testing template for the generated AssignmentExtensionsAPI Class.
"""
import unittest
import requests
import secrets
from py3canvas.apis.assignment_extensions import AssignmentExtensionsAPI
from py3canvas.apis.assignment_extensions import Assignmentextension
class TestAssignmentExtensionsAPI(unittest.TestCase):
"""Tests for the AssignmentExtensionsAPI."""
def setUp(self):
self.client = AssignmentExtensionsAPI(
secrets.instance_address, secrets.access_token
)
def test_set_extensions_for_student_assignment_submissions(self):
"""Integration test for the AssignmentExtensionsAPI.set_extensions_for_student_assignment_submissions method."""
# This method utilises the POST request method and will make changes to the Canvas instance. This needs consideration.
pass
| 37.333333
| 126
| 0.787946
| 97
| 896
| 7.123711
| 0.556701
| 0.026049
| 0.049204
| 0.078148
| 0.251809
| 0.251809
| 0
| 0
| 0
| 0
| 0
| 0.005305
| 0.158482
| 896
| 23
| 127
| 38.956522
| 0.911141
| 0.433036
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0.083333
| 0.416667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
db6d5a2b44b4d305298c5d2611b2031fd5d7b1a0
| 132
|
py
|
Python
|
src/python/main.py
|
chtld/Finite_Element_Method
|
f38fed7a3bf472a95acbb93d5546bf2a2e8b4438
|
[
"MIT"
] | 8
|
2018-09-03T14:09:51.000Z
|
2022-03-09T14:12:55.000Z
|
src/python/main.py
|
chtld/Finite_Element_Method_for_1D_Possion_Equation
|
f38fed7a3bf472a95acbb93d5546bf2a2e8b4438
|
[
"MIT"
] | null | null | null |
src/python/main.py
|
chtld/Finite_Element_Method_for_1D_Possion_Equation
|
f38fed7a3bf472a95acbb93d5546bf2a2e8b4438
|
[
"MIT"
] | 2
|
2020-12-03T07:15:11.000Z
|
2021-03-26T09:04:07.000Z
|
class problem(object):
"""docstring for problem"""
def __init__(self, arg):
super(problem, self).__init__()
self.arg = arg
| 18.857143
| 33
| 0.674242
| 17
| 132
| 4.764706
| 0.588235
| 0.197531
| 0.271605
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 132
| 6
| 34
| 22
| 0.736364
| 0.159091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
db8a17896202360e73a75a40248e87496bb53e2f
| 75
|
py
|
Python
|
rtsa-gui.py
|
Sout/pyrf
|
6412d5630707632f61cfa2fae8ceafad580a207d
|
[
"BSD-3-Clause"
] | null | null | null |
rtsa-gui.py
|
Sout/pyrf
|
6412d5630707632f61cfa2fae8ceafad580a207d
|
[
"BSD-3-Clause"
] | null | null | null |
rtsa-gui.py
|
Sout/pyrf
|
6412d5630707632f61cfa2fae8ceafad580a207d
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python
from pyrf.gui.spectrum_analyzer import main
main()
| 12.5
| 43
| 0.76
| 12
| 75
| 4.666667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 75
| 5
| 44
| 15
| 0.848485
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
dba7245360bfe37fb3a2187800688f60958058b6
| 854
|
py
|
Python
|
lymph/utils/tests/test_logging.py
|
kashopi/lymph
|
973a54b3e1d65ffecfd93cf9e5362f057f4868d2
|
[
"Apache-2.0"
] | 89
|
2015-03-01T11:39:55.000Z
|
2022-01-31T22:00:15.000Z
|
lymph/utils/tests/test_logging.py
|
kashopi/lymph
|
973a54b3e1d65ffecfd93cf9e5362f057f4868d2
|
[
"Apache-2.0"
] | 214
|
2015-01-02T23:48:49.000Z
|
2020-01-14T10:47:37.000Z
|
lymph/utils/tests/test_logging.py
|
kashopi/lymph
|
973a54b3e1d65ffecfd93cf9e5362f057f4868d2
|
[
"Apache-2.0"
] | 36
|
2015-01-13T13:44:15.000Z
|
2021-09-15T17:55:41.000Z
|
import logging
from unittest import TestCase
from lymph.utils.logging import get_loglevel
class LoggingUtilsTests(TestCase):
def test_get_loglevel(self):
self.assertEqual(get_loglevel('DEBUG'), logging.DEBUG)
self.assertEqual(get_loglevel('debug'), logging.DEBUG)
self.assertEqual(get_loglevel('Debug'), logging.DEBUG)
self.assertEqual(get_loglevel('INFO'), logging.INFO)
self.assertEqual(get_loglevel('info'), logging.INFO)
self.assertEqual(get_loglevel('ERROR'), logging.ERROR)
self.assertEqual(get_loglevel('error'), logging.ERROR)
self.assertEqual(get_loglevel('CRITICAL'), logging.CRITICAL)
self.assertEqual(get_loglevel('critical'), logging.CRITICAL)
self.assertRaises(ValueError, get_loglevel, 'FOO')
self.assertRaises(ValueError, get_loglevel, '*')
| 38.818182
| 68
| 0.720141
| 95
| 854
| 6.326316
| 0.231579
| 0.237937
| 0.269551
| 0.389351
| 0.780366
| 0.663894
| 0.663894
| 0.663894
| 0.537438
| 0.537438
| 0
| 0
| 0.15808
| 854
| 21
| 69
| 40.666667
| 0.835883
| 0
| 0
| 0
| 0
| 0
| 0.062134
| 0
| 0
| 0
| 0
| 0
| 0.6875
| 1
| 0.0625
| false
| 0
| 0.1875
| 0
| 0.3125
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
dbd325e3691ee9aefba2bd16f83c4e0e30937b98
| 40
|
py
|
Python
|
tests/imports/invalid.py
|
JohnVillalovos/webhook-proxy
|
fbb2df31b10a0c3ffb9572a0abde4df7e1ad2ef3
|
[
"MIT"
] | null | null | null |
tests/imports/invalid.py
|
JohnVillalovos/webhook-proxy
|
fbb2df31b10a0c3ffb9572a0abde4df7e1ad2ef3
|
[
"MIT"
] | null | null | null |
tests/imports/invalid.py
|
JohnVillalovos/webhook-proxy
|
fbb2df31b10a0c3ffb9572a0abde4df7e1ad2ef3
|
[
"MIT"
] | null | null | null |
raise Exception("Failed to initialize")
| 20
| 39
| 0.8
| 5
| 40
| 6.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 40
| 1
| 40
| 40
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
dbdceae5e6cc7982811d6cf3bb27b4262f340a15
| 113
|
py
|
Python
|
Hello World.py
|
Every-Developer/Test_Repository
|
2d1e265696abf3c31551b1347a361c23981b8989
|
[
"MIT"
] | null | null | null |
Hello World.py
|
Every-Developer/Test_Repository
|
2d1e265696abf3c31551b1347a361c23981b8989
|
[
"MIT"
] | null | null | null |
Hello World.py
|
Every-Developer/Test_Repository
|
2d1e265696abf3c31551b1347a361c23981b8989
|
[
"MIT"
] | null | null | null |
# Github : https://github.com/Every-Developer/Test_Repository
# Programmer : Mohammadreza.D
print('Hello World')
| 28.25
| 61
| 0.769912
| 14
| 113
| 6.142857
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088496
| 113
| 3
| 62
| 37.666667
| 0.834951
| 0.769912
| 0
| 0
| 0
| 0
| 0.478261
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
917d68970114801632b997aa47a7801679d19c28
| 5,347
|
py
|
Python
|
docify/formatters/html.py
|
rapidstack/docify
|
8f15ed10dddac3728c9e4f5c2683ceefa204ce65
|
[
"MIT"
] | 1
|
2019-11-19T08:06:26.000Z
|
2019-11-19T08:06:26.000Z
|
docify/formatters/html.py
|
rapidstack/docify
|
8f15ed10dddac3728c9e4f5c2683ceefa204ce65
|
[
"MIT"
] | 2
|
2019-01-22T15:30:29.000Z
|
2019-04-04T13:48:07.000Z
|
docify/formatters/html.py
|
rapidstack/docify
|
8f15ed10dddac3728c9e4f5c2683ceefa204ce65
|
[
"MIT"
] | 1
|
2019-01-22T11:04:05.000Z
|
2019-01-22T11:04:05.000Z
|
import cgi
from docify.lib.formatter import Formatter
from docify import Document, components as c
__all__ = [
'DOC_TMPL',
'HTML'
]
DOC_TMPL = '''\
<!doctype html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<title>Docify Document</title>
</head>
<body>
<div id="container">
{}
</div>
</body>
</html>
'''
class HTML(Formatter):
'''HTML formatter to format document into plain HTML.'''
def __init__(self, *args, **kwargs):
super(HTML, self).__init__(*args, **kwargs)
self.tmpl = DOC_TMPL
self.indent = 4
self._spacing = 12
def tag(self, tag, components=[], properties={}):
attrs = ''
for k in properties:
v = properties[k]
attrs += ' {}="{}"'.format(k, v.replace('"', '\\"'))
if len(components) == 0:
return '<{0}{1} />'.format(tag, attrs)
return '<{0}{1}>{2}</{0}>'.format(
tag, attrs, ''.join([self.f(c) for c in components]))
def update_handlers(self):
'''Overriding parent method'''
super(HTML, self).update_handlers()
@self.handles(Document)
def handle_doc(self, obj):
return self.tmpl.format(('\n' + (' ' * self._spacing)).join(
[self.f(c) for c in obj.components]))
@self.handles(c.Text)
def handle_text(self, obj):
return cgi.escape(obj.value)
@self.handles(c.Nbsp)
def handle_nbsp(self, obj):
return ' '
@self.handles(c.Break)
def handle_br(self, obj):
return '<br />'
@self.handles(c.HorizontalRule)
def handle_hr(self, obj):
return '<hr />'
@self.handles(c.Anchor)
def handle_a(self, obj):
return self.tag('a', [obj.value], obj.props)
@self.handles(c.Image)
def handle_img(self, obj):
return self.tag('img', [], obj.props)
@self.handles(c.Header1)
def handle_h1(self, obj):
return self.tag('h1', obj.components, obj.props)
@self.handles(c.Header2)
def handle_h2(self, obj):
return self.tag('h2', obj.components, obj.props)
@self.handles(c.Header3)
def handle_h3(self, obj):
return self.tag('h3', obj.components, obj.props)
@self.handles(c.Header4)
def handle_h4(self, obj):
return self.tag('h4', obj.components, obj.props)
@self.handles(c.Header5)
def handle_h5(self, obj):
return self.tag('h5', obj.components, obj.props)
@self.handles(c.Header6)
def handle_h6(self, obj):
return self.tag('h6', obj.components, obj.props)
@self.handles(c.Footer)
def handle_footer(self, obj):
return self.tag('footer', obj.components, obj.props)
@self.handles(c.Small)
def handle_small(self, obj):
return self.tag('small', obj.components, obj.props)
@self.handles(c.Cite)
def handle_cite(self, obj):
return self.tag('cite', obj.components, obj.props)
@self.handles(c.Italic)
def handle_i(self, obj):
return self.tag('i', obj.components, obj.props)
@self.handles(c.Bold)
def handle_b(self, obj):
return self.tag('b', obj.components, obj.props)
@self.handles(c.Blockquote)
def handle_blockquote(self, obj):
return self.tag('blockquote', obj.components, obj.props)
@self.handles(c.Pre)
def handle_pre(self, obj):
return self.tag('pre', obj.components, obj.props)
@self.handles(c.Code)
def handle_code(self, obj):
return self.tag('code', obj.components, obj.props)
@self.handles(c.Del)
def handle_del(self, obj):
return self.tag('del', obj.components, obj.props)
@self.handles(c.Section)
def handle_section(self, obj):
return self.tag('section', obj.components, obj.props)
@self.handles(c.Paragraph)
def handle_p(self, obj):
return self.tag('p', obj.components, obj.props)
@self.handles(c.Span)
def handle_span(self, obj):
return self.tag('span', obj.components, obj.props)
@self.handles(c.OrderedList)
def handle_ol(self, obj):
return self.tag('ol', obj.components, obj.props)
@self.handles(c.UnorderedList)
def handle_ul(self, obj):
return self.tag('ul', obj.components, obj.props)
@self.handles(c.ListItem)
def handle_li(self, obj):
return self.tag('li', obj.components, obj.props)
@self.handles(c.Table)
def handle_table(self, obj):
return self.tag('table', obj.components, obj.props)
@self.handles(c.TableHeader)
def handle_th(self, obj):
return self.tag('th', obj.components, obj.props)
@self.handles(c.TableRow)
def handle_tr(self, obj):
return self.tag('tr', obj.components, obj.props)
@self.handles(c.TableData)
def handle_td(self, obj):
return self.tag('td', obj.components, obj.props)
| 29.218579
| 94
| 0.56181
| 672
| 5,347
| 4.394345
| 0.190476
| 0.119201
| 0.140874
| 0.161192
| 0.475449
| 0.279038
| 0.279038
| 0
| 0
| 0
| 0
| 0.007899
| 0.289695
| 5,347
| 182
| 95
| 29.379121
| 0.769616
| 0.014027
| 0
| 0
| 0
| 0.007353
| 0.086866
| 0.005322
| 0
| 0
| 0
| 0
| 0
| 1
| 0.257353
| false
| 0
| 0.022059
| 0.235294
| 0.536765
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
91ac79dbced19fd375176b272bf3a8874d78d1e5
| 281
|
py
|
Python
|
test_treebeard/models.py
|
kollivier/django-tree-tests
|
13cd72d83a3967f2a3c011ea1dbe5ccf9fd9af31
|
[
"MIT"
] | null | null | null |
test_treebeard/models.py
|
kollivier/django-tree-tests
|
13cd72d83a3967f2a3c011ea1dbe5ccf9fd9af31
|
[
"MIT"
] | 1
|
2021-06-10T20:47:50.000Z
|
2021-06-10T20:47:50.000Z
|
test_treebeard/models.py
|
kollivier/django-tree-tests
|
13cd72d83a3967f2a3c011ea1dbe5ccf9fd9af31
|
[
"MIT"
] | null | null | null |
from django.db import models
from treebeard.mp_tree import MP_Node
class Object(models.Model):
name = models.CharField(max_length=50)
class TreeNode(MP_Node):
name = models.CharField(max_length=30)
def __unicode__(self):
return 'Category: %s' % self.name
| 18.733333
| 42
| 0.718861
| 40
| 281
| 4.825
| 0.625
| 0.062176
| 0.196891
| 0.227979
| 0.290155
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017391
| 0.181495
| 281
| 14
| 43
| 20.071429
| 0.821739
| 0
| 0
| 0
| 0
| 0
| 0.042857
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.25
| 0.125
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
37e53c6637a444f50197bdfff84846244287a6e2
| 19,991
|
py
|
Python
|
tests/cli/v012/test_datasource_sqlite.py
|
svenhofstede/great_expectations
|
137a93052c6569dec823154c269d0831d3df8ddd
|
[
"Apache-2.0"
] | null | null | null |
tests/cli/v012/test_datasource_sqlite.py
|
svenhofstede/great_expectations
|
137a93052c6569dec823154c269d0831d3df8ddd
|
[
"Apache-2.0"
] | null | null | null |
tests/cli/v012/test_datasource_sqlite.py
|
svenhofstede/great_expectations
|
137a93052c6569dec823154c269d0831d3df8ddd
|
[
"Apache-2.0"
] | null | null | null |
import os
from collections import OrderedDict
from click.testing import CliRunner
from great_expectations import DataContext
from great_expectations.cli.v012 import cli
from tests.cli.v012.test_cli import yaml
from tests.cli.v012.utils import (
assert_dict_key_and_val_in_stdout,
assert_no_logging_messages_or_tracebacks,
assert_no_tracebacks,
)
def test_cli_datasource_list(empty_data_context, empty_sqlite_db, caplog):
"""Test an empty project and after adding a single datasource."""
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli, ["datasource", "list", "-d", project_root_dir], catch_exceptions=False
)
stdout = result.stdout.strip()
assert "No Datasources found" in stdout
assert context.list_datasources() == []
datasource_name = "wow_a_datasource"
_add_datasource_and_credentials_to_context(
context, datasource_name, empty_sqlite_db
)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli, ["datasource", "list", "-d", project_root_dir], catch_exceptions=False
)
url = str(empty_sqlite_db.engine.url)
expected_output = """\
1 Datasource found:[0m
[0m
- [36mname:[0m wow_a_datasource[0m
[36mmodule_name:[0m great_expectations.datasource[0m
[36mclass_name:[0m SqlAlchemyDatasource[0m
[36mbatch_kwargs_generators:[0m[0m
[36mdefault:[0m[0m
[36mclass_name:[0m TableBatchKwargsGenerator[0m
[36mcredentials:[0m[0m
[36murl:[0m {}[0m
[36mdata_asset_type:[0m[0m
[36mclass_name:[0m SqlAlchemyDataset[0m
[36mmodule_name:[0m None[0m
""".format(
url
).strip()
stdout = result.stdout.strip()
assert stdout == expected_output
assert_no_logging_messages_or_tracebacks(caplog, result)
def _add_datasource_and_credentials_to_context(context, datasource_name, sqlite_engine):
original_datasources = context.list_datasources()
url = str(sqlite_engine.url)
credentials = {"url": url}
context.save_config_variable(datasource_name, credentials)
context.add_datasource(
datasource_name,
initialize=False,
module_name="great_expectations.datasource",
class_name="SqlAlchemyDatasource",
data_asset_type={"class_name": "SqlAlchemyDataset"},
credentials="${" + datasource_name + "}",
batch_kwargs_generators={
"default": {"class_name": "TableBatchKwargsGenerator"}
},
)
expected_datasources = original_datasources
expected_datasources.append(
{
"name": datasource_name,
"class_name": "SqlAlchemyDatasource",
"module_name": "great_expectations.datasource",
"credentials": OrderedDict([("url", url)]),
"data_asset_type": {"class_name": "SqlAlchemyDataset", "module_name": None},
"batch_kwargs_generators": {
"default": {"class_name": "TableBatchKwargsGenerator"}
},
}
)
assert context.list_datasources() == expected_datasources
return context
def _add_datasource__with_two_generators_and_credentials_to_context(
context, datasource_name, sqlite_engine
):
original_datasources = context.list_datasources()
url = str(sqlite_engine.url)
credentials = {"url": url}
context.save_config_variable(datasource_name, credentials)
context.add_datasource(
datasource_name,
initialize=False,
module_name="great_expectations.datasource",
class_name="SqlAlchemyDatasource",
data_asset_type={"class_name": "SqlAlchemyDataset"},
credentials="${" + datasource_name + "}",
batch_kwargs_generators={
"default": {"class_name": "TableBatchKwargsGenerator"},
"second_generator": {
"class_name": "ManualBatchKwargsGenerator",
"assets": {
"asset_one": [
{"partition_id": 1, "query": "select * from main.titanic"}
]
},
},
},
)
expected_datasources = original_datasources
expected_datasources.append(
{
"name": datasource_name,
"class_name": "SqlAlchemyDatasource",
"module_name": "great_expectations.datasource",
"credentials": {"url": url},
"data_asset_type": {"class_name": "SqlAlchemyDataset", "module_name": None},
"batch_kwargs_generators": {
"default": {"class_name": "TableBatchKwargsGenerator"},
"second_generator": {
"assets": {
"asset_one": [
{
"partition_id": 1,
"query": "select " "* " "from " "main.titanic",
}
]
},
"class_name": "ManualBatchKwargsGenerator",
},
},
}
)
assert context.list_datasources() == expected_datasources
return context
def test_cli_datasource_new_connection_string(
empty_data_context, empty_sqlite_db, caplog
):
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
assert context.list_datasources() == []
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli,
["datasource", "new", "-d", project_root_dir],
input="2\n6\nmynewsource\n{}\n\n".format(str(empty_sqlite_db.url)),
catch_exceptions=False,
)
stdout = result.stdout
assert "What data would you like Great Expectations to connect to?" in stdout
assert "Give your new Datasource a short name." in stdout
assert (
"Next, we will configure database credentials and store them in the `mynewsource` section"
in stdout
)
assert "What is the url/connection string for the sqlalchemy connection?" in stdout
assert "Attempting to connect to your database. This may take a moment" in stdout
assert "Great Expectations connected to your database" in stdout
assert "A new datasource 'mynewsource' was added to your project." in stdout
assert result.exit_code == 0
config_path = os.path.join(project_root_dir, DataContext.GE_YML)
config = yaml.load(open(config_path))
datasources = config["datasources"]
assert "mynewsource" in datasources.keys()
data_source_class = datasources["mynewsource"]["data_asset_type"]["class_name"]
assert data_source_class == "SqlAlchemyDataset"
assert_no_logging_messages_or_tracebacks(caplog, result)
def test_cli_datasource_profile_answering_no(
empty_data_context, titanic_sqlite_db, caplog
):
"""
When datasource profile command is called without additional arguments,
the command must prompt the user with a confirm (y/n) before profiling.
We are verifying that it does that and respects user's "no".
"""
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
datasource_name = "wow_a_datasource"
context = _add_datasource_and_credentials_to_context(
context, datasource_name, titanic_sqlite_db
)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli,
["datasource", "profile", datasource_name, "-d", project_root_dir, "--no-view"],
input="n\n",
catch_exceptions=False,
)
stdout = result.output
assert result.exit_code == 0
assert "Profiling 'wow_a_datasource'" in stdout
assert "Skipping profiling for now." in stdout
assert_no_logging_messages_or_tracebacks(caplog, result)
def test_cli_datasource_profile_on_empty_database(
empty_data_context, empty_sqlite_db, caplog
):
"""
We run the datasource profile command against an empty database (no tables).
This means that no generator can "see" a list of available data assets.
The command must exit with an error message saying that no generator can see
any assets.
"""
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
datasource_name = "wow_a_datasource"
context = _add_datasource_and_credentials_to_context(
context, datasource_name, empty_sqlite_db
)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli,
["datasource", "profile", datasource_name, "-d", project_root_dir, "--no-view"],
input="n\n",
catch_exceptions=False,
)
stdout = result.output
assert result.exit_code == 1
assert "Profiling 'wow_a_datasource'" in stdout
assert "No batch kwargs generators can list available data assets" in stdout
assert_no_logging_messages_or_tracebacks(caplog, result)
def test_cli_datasource_profile_with_datasource_arg(
empty_data_context, titanic_sqlite_db, caplog
):
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
datasource_name = "wow_a_datasource"
context = _add_datasource_and_credentials_to_context(
context, datasource_name, titanic_sqlite_db
)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli,
[
"datasource",
"profile",
datasource_name,
"-d",
project_root_dir,
"--no-view",
],
input="Y\n",
catch_exceptions=False,
)
stdout = result.stdout
assert result.exit_code == 0
assert "Profiling '{}'".format(datasource_name) in stdout
context = DataContext(project_root_dir)
assert len(context.list_datasources()) == 1
expectations_store = context.stores["expectations_store"]
suites = expectations_store.list_keys()
assert len(suites) == 1
assert (
suites[0].expectation_suite_name
== "wow_a_datasource.default.main.titanic.BasicDatasetProfiler"
)
validations_store = context.stores["validations_store"]
validation_keys = validations_store.list_keys()
assert len(validation_keys) == 1
validation = validations_store.get(validation_keys[0])
assert (
validation.meta["expectation_suite_name"]
== "wow_a_datasource.default.main.titanic.BasicDatasetProfiler"
)
assert validation.success is False
assert len(validation.results) == 51
assert "Preparing column 1 of 7" in caplog.messages[0]
assert len(caplog.messages) == 10
assert_no_tracebacks(result)
def test_cli_datasource_profile_with_datasource_arg_and_generator_name_arg(
empty_data_context, titanic_sqlite_db, caplog
):
"""
Here we are verifying that when generator_name argument is passed to
the methods down the stack.
We use a datasource with two generators. This way we can check that the
name of the expectation suite created by the profiler corresponds to
the name of the data asset listed by the generator that we told the profiler
to use.
The logic of processing this argument is testing in tests/profile.
"""
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
datasource_name = "wow_a_datasource"
context = _add_datasource__with_two_generators_and_credentials_to_context(
context, datasource_name, titanic_sqlite_db
)
second_generator_name = "second_generator"
runner = CliRunner()
result = runner.invoke(
cli,
[
"datasource",
"profile",
datasource_name,
"--batch-kwargs-generator-name",
second_generator_name,
"-d",
project_root_dir,
"--no-view",
],
input="Y\n",
)
stdout = result.stdout
assert result.exit_code == 0
assert "Profiling '{}'".format(datasource_name) in stdout
context = DataContext(project_root_dir)
assert len(context.list_datasources()) == 1
expectations_store = context.stores["expectations_store"]
suites = expectations_store.list_keys()
assert len(suites) == 1
assert (
suites[0].expectation_suite_name
== "wow_a_datasource.second_generator.asset_one.BasicDatasetProfiler"
)
assert "Preparing column 1 of 7" in caplog.messages[0]
assert len(caplog.messages) == 10
assert_no_tracebacks(result)
def test_cli_datasource_profile_with_no_datasource_args(
empty_data_context, titanic_sqlite_db, caplog
):
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
datasource_name = "wow_a_datasource"
context = _add_datasource_and_credentials_to_context(
context, datasource_name, titanic_sqlite_db
)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli,
["datasource", "profile", "-d", project_root_dir, "--no-view"],
input="Y\n",
catch_exceptions=False,
)
assert result.exit_code == 0
stdout = result.stdout
assert "Profiling 'wow_a_datasource'" in stdout
assert "The following Data Docs sites will be built:\n" in stdout
assert "local_site:" in stdout
context = DataContext(project_root_dir)
assert len(context.list_datasources()) == 1
expectations_store = context.stores["expectations_store"]
suites = expectations_store.list_keys()
assert len(suites) == 1
assert (
suites[0].expectation_suite_name
== "wow_a_datasource.default.main.titanic.BasicDatasetProfiler"
)
validations_store = context.stores["validations_store"]
validation_keys = validations_store.list_keys()
assert len(validation_keys) == 1
validation = validations_store.get(validation_keys[0])
assert (
validation.meta["expectation_suite_name"]
== "wow_a_datasource.default.main.titanic.BasicDatasetProfiler"
)
assert validation.success is False
assert len(validation.results) == 51
assert "Preparing column 1 of 7" in caplog.messages[0]
assert len(caplog.messages) == 10
assert_no_tracebacks(result)
def test_cli_datasource_profile_with_data_asset_and_additional_batch_kwargs_with_limit(
empty_data_context, titanic_sqlite_db, caplog
):
"""
User can pass additional batch kwargs (e.g., limit) to a sql backend.
Here we are verifying that passing "limit" affects the query correctly -
the row count in the batch that the profiler uses to profile the data asset
must match the limit passed by the user.
"""
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
datasource_name = "wow_a_datasource"
context = _add_datasource_and_credentials_to_context(
context, datasource_name, titanic_sqlite_db
)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli,
[
"datasource",
"profile",
"-d",
project_root_dir,
"--data-assets",
"main.titanic",
"--additional-batch-kwargs",
'{"limit": 97}',
"--no-view",
],
input="Y\n",
catch_exceptions=False,
)
stdout = result.stdout
assert result.exit_code == 0
assert "Profiling '{}'".format(datasource_name) in stdout
assert "The following Data Docs sites will be built:\n" in stdout
assert "local_site:" in stdout
context = DataContext(project_root_dir)
assert len(context.list_datasources()) == 1
expectations_store = context.stores["expectations_store"]
suites = expectations_store.list_keys()
assert len(suites) == 1
assert (
suites[0].expectation_suite_name
== "wow_a_datasource.default.main.titanic.BasicDatasetProfiler"
)
validations_store = context.stores["validations_store"]
validation_keys = validations_store.list_keys()
assert len(validation_keys) == 1
validation = validations_store.get(validation_keys[0])
assert (
validation.meta["expectation_suite_name"]
== "wow_a_datasource.default.main.titanic.BasicDatasetProfiler"
)
assert validation.success is False
row_count_validation_results = [
validation_result
for validation_result in validation.results
if validation_result.expectation_config.expectation_type
== "expect_table_row_count_to_be_between"
]
assert len(row_count_validation_results) == 1
assert row_count_validation_results[0].result["observed_value"] == 97
assert "Preparing column 1 of 7" in caplog.messages[0]
assert len(caplog.messages) == 10
assert_no_tracebacks(result)
def test_cli_datasource_profile_with_valid_data_asset_arg(
empty_data_context, titanic_sqlite_db, caplog
):
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
datasource_name = "wow_a_datasource"
context = _add_datasource_and_credentials_to_context(
context, datasource_name, titanic_sqlite_db
)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli,
[
"datasource",
"profile",
datasource_name,
"--data-assets",
"main.titanic",
"-d",
project_root_dir,
"--no-view",
],
catch_exceptions=False,
)
stdout = result.stdout
assert result.exit_code == 0
assert "Profiling '{}'".format(datasource_name) in stdout
assert "The following Data Docs sites will be built:\n" in stdout
assert "local_site:" in stdout
context = DataContext(project_root_dir)
assert len(context.list_datasources()) == 1
expectations_store = context.stores["expectations_store"]
suites = expectations_store.list_keys()
assert len(suites) == 1
assert (
suites[0].expectation_suite_name
== "wow_a_datasource.default.main.titanic.BasicDatasetProfiler"
)
validations_store = context.stores["validations_store"]
validation_keys = validations_store.list_keys()
assert len(validation_keys) == 1
validation = validations_store.get(validation_keys[0])
assert (
validation.meta["expectation_suite_name"]
== "wow_a_datasource.default.main.titanic.BasicDatasetProfiler"
)
assert validation.success is False
assert len(validation.results) == 51
assert "Preparing column 1 of 7" in caplog.messages[0]
assert len(caplog.messages) == 10
assert_no_tracebacks(result)
def test_cli_datasource_profile_with_invalid_data_asset_arg_answering_no(
empty_data_context, titanic_sqlite_db, caplog
):
project_root_dir = empty_data_context.root_directory
context = DataContext(project_root_dir)
datasource_name = "wow_a_datasource"
context = _add_datasource_and_credentials_to_context(
context, datasource_name, titanic_sqlite_db
)
runner = CliRunner(mix_stderr=False)
result = runner.invoke(
cli,
[
"datasource",
"profile",
datasource_name,
"--data-assets",
"bad-bad-asset",
"-d",
project_root_dir,
"--no-view",
],
input="2\n",
catch_exceptions=False,
)
stdout = result.stdout
assert (
"Some of the data assets you specified were not found: bad-bad-asset" in stdout
)
assert "Choose how to proceed" in stdout
assert "Skipping profiling for now." in stdout
context = DataContext(project_root_dir)
assert len(context.list_datasources()) == 1
expectations_store = context.stores["expectations_store"]
suites = expectations_store.list_keys()
assert len(suites) == 0
assert_no_logging_messages_or_tracebacks(caplog, result)
| 33.042975
| 98
| 0.674654
| 2,303
| 19,991
| 5.575771
| 0.118107
| 0.032552
| 0.04143
| 0.025232
| 0.764582
| 0.74706
| 0.741453
| 0.721361
| 0.695818
| 0.662877
| 0
| 0.008551
| 0.233655
| 19,991
| 604
| 99
| 33.097682
| 0.82735
| 0.057776
| 0
| 0.699588
| 0
| 0
| 0.211072
| 0.069787
| 0
| 0
| 0
| 0
| 0.201646
| 1
| 0.024691
| false
| 0
| 0.014403
| 0
| 0.04321
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
37e55413b5a6380f236c419f6c2a6b3d26cff373
| 4,184
|
py
|
Python
|
uplift/print_ate.py
|
W-Tran/uplift-modelling
|
0b9b1787a33a0f67bd66dda6910b08fa67c1564d
|
[
"MIT"
] | 4
|
2020-06-09T03:39:42.000Z
|
2022-01-26T09:11:14.000Z
|
uplift/print_ate.py
|
W-Tran/uplift-modelling
|
0b9b1787a33a0f67bd66dda6910b08fa67c1564d
|
[
"MIT"
] | 3
|
2020-03-31T09:19:38.000Z
|
2021-08-23T20:28:12.000Z
|
uplift/print_ate.py
|
W-Tran/uplift-modelling
|
0b9b1787a33a0f67bd66dda6910b08fa67c1564d
|
[
"MIT"
] | null | null | null |
def visit_rate_ate(df, test_set=False):
if test_set:
treatment_visit_rate = df[df.Treatment == 1].Outcome.mean() * 100
control_visit_rate = df[df.Treatment == 0].Outcome.mean() * 100
average_treatment_effect = treatment_visit_rate - control_visit_rate
print("Test set visit rate uplift: {:.2f}%".format(average_treatment_effect))
return average_treatment_effect
else:
mens = df[df.segment == "Mens E-Mail"].visit.mean() * 100
womens = df[df.segment == "Womens E-Mail"].visit.mean() * 100
control = df[df.segment == "No E-Mail"].visit.mean() * 100
print("Men's E-Mail visit rate: {:.2f}%".format(mens))
print("Women's E-Mail visit rate: {:.2f}%".format(womens))
print("Control E-mail visit Rate: {:.2f}%".format(control))
print("---------------------------------")
print("Men's visit rate uplift: {:.2f}%".format(mens - control))
print("Women's visit rate uplift: {:.2f}%".format(womens - control))
def conversion_rate_ate(df):
mens = df[df.segment == "Mens E-Mail"].conversion.mean() * 100
womens = df[df.segment == "Womens E-Mail"].conversion.mean() * 100
control = df[df.segment == "No E-Mail"].conversion.mean() * 100
print("Men's E-Mail conversion rate: {:.2f}%".format(mens))
print("Women's E-Mail conversion rate: {:.2f}%".format(womens))
print("Control E-mail conversion Rate: {:.2f}%".format(control))
print("---------------------------------")
print("Men's conversion rate uplift: {:.2f}%".format(mens - control))
print("Women's conversion rate uplift: {:.2f}%".format(womens - control))
def spending_ate(df):
mens = df[df.segment == "Mens E-Mail"].spend.mean()
womens = df[df.segment == "Womens E-Mail"].spend.mean()
control = df[df.segment == "No E-Mail"].spend.mean()
print("Men's E-Mail spending: ${:.2f}".format(mens))
print("Women's E-Mail spending: ${:.2f}".format(womens))
print("Control E-mail spending: ${:.2f}".format(control))
print("---------------------------------")
print("Men's spending uplift: ${:.2f}".format(mens - control))
print("Women's spending uplift: ${:.2f}".format(womens - control))
def spend_given_purchase(df):
print("Men's average spend given purchase: ${:.2f}".format(
df[(df.conversion == 1) & (df.segment == 'Mens E-Mail')].spend.mean()))
print("Women's average spend given purchase: ${:.2f}".format(
df[(df.conversion == 1) & (df.segment == 'Womens E-Mail')].spend.mean()))
print("Control average spend given purchase: ${:.2f}".format(
df[(df.conversion == 1) & (df.segment == 'No E-Mail')].spend.mean()))
def purchase_given_visit(df):
print("Men's purchase rate given visit: {:.2f}%".format(100 * (
len(df[(df.conversion == 1) & (df.segment == 'Mens E-Mail')]) / len(
df[(df.visit == 1) & (df.segment == 'Mens E-Mail')]))))
print("Women's purchase rate given visit: {:.2f}%".format(100 * (
len(df[(df.conversion == 1) & (df.segment == 'Womens E-Mail')]) / len(
df[(df.visit == 1) & (df.segment == 'Womens E-Mail')]))))
print("Control purchase rate given visit: {:.2f}%".format(100 * (
len(df[(df.conversion == 1) & (df.segment == 'No E-Mail')]) / len(
df[(df.visit == 1) & (df.segment == 'No E-Mail')]))))
def visit_rate(df):
print("Men's visit rate: {:.2f}%".format(
100 * (len(df[(df.visit == 1) & (df.segment == 'Mens E-Mail')]) / len(df[(df.segment == 'Mens E-Mail')]))))
print("Women's visit rate: {:.2f}%".format(
100 * (len(df[(df.visit == 1) & (df.segment == 'Womens E-Mail')]) / len(df[(df.segment == 'Womens E-Mail')]))))
print("Control visit rate: {:.2f}%".format(
100 * (len(df[(df.visit == 1) & (df.segment == 'No E-Mail')]) / len(df[(df.segment == 'No E-Mail')]))))
def spend_per_head(df):
print("Men's mean spend: ${:.2f}".format(df[(df.segment == 'Mens E-Mail')].spend.mean()))
print("Women's mean spend: ${:.2f}".format(df[(df.segment == 'Womens E-Mail')].spend.mean()))
print("Control mean spend: ${:.2f}".format(df[(df.segment == 'No E-Mail')].spend.mean()))
| 53.641026
| 119
| 0.57935
| 582
| 4,184
| 4.116838
| 0.070447
| 0.075125
| 0.068865
| 0.052588
| 0.866444
| 0.803005
| 0.754174
| 0.626878
| 0.472871
| 0.279215
| 0
| 0.02449
| 0.18021
| 4,184
| 77
| 120
| 54.337662
| 0.674052
| 0
| 0
| 0.046154
| 0
| 0
| 0.324809
| 0.023662
| 0
| 0
| 0
| 0
| 0
| 1
| 0.107692
| false
| 0
| 0
| 0
| 0.123077
| 0.476923
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
37fdc5cacd75e3d07810ba394fa5ca1ac0c3ca6a
| 155
|
py
|
Python
|
config.py
|
Keys-007/AnonymousSender
|
d32368fc713e6dac45beba6089766aebaa708a8d
|
[
"MIT"
] | null | null | null |
config.py
|
Keys-007/AnonymousSender
|
d32368fc713e6dac45beba6089766aebaa708a8d
|
[
"MIT"
] | null | null | null |
config.py
|
Keys-007/AnonymousSender
|
d32368fc713e6dac45beba6089766aebaa708a8d
|
[
"MIT"
] | null | null | null |
import os
import os
API_ID = int(os.getenv("API_ID"))
API_HASH = os.getenv("API_HASH")
BOT_TOKEN = os.getenv("SESSION")
LOG_GRP = os.getenv("LOG_GRP")
| 14.090909
| 33
| 0.703226
| 28
| 155
| 3.642857
| 0.428571
| 0.313725
| 0.215686
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 155
| 10
| 34
| 15.5
| 0.755556
| 0
| 0
| 0.333333
| 0
| 0
| 0.184211
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
531ce7072a0d2fb47634da7f8f919e4516d41dd6
| 422
|
py
|
Python
|
python/python3/mgpc.py
|
epstabler/mgtdb
|
41e0018a2aebee90a5bdafe21dfac8d743aca4a7
|
[
"Apache-2.0"
] | 9
|
2015-07-26T23:09:34.000Z
|
2021-01-20T23:54:55.000Z
|
python/dev/mgpc.py
|
epstabler/mgtdb
|
41e0018a2aebee90a5bdafe21dfac8d743aca4a7
|
[
"Apache-2.0"
] | null | null | null |
python/dev/mgpc.py
|
epstabler/mgtdb
|
41e0018a2aebee90a5bdafe21dfac8d743aca4a7
|
[
"Apache-2.0"
] | 7
|
2015-07-20T16:46:03.000Z
|
2021-08-14T02:01:17.000Z
|
g = [ (['p'],[('cat','wff')]),
(['q'],[('cat','wff')]),
(['r'],[('cat','wff')]),
(['s'],[('cat','wff')]),
(['t'],[('cat','wff')]),
(['not'],[('sel','wff'),('cat','wff')]),
(['and'],[('sel','wff'),('sel','wff'),('cat','wff')]),
(['or'],[('sel','wff'),('sel','wff'),('cat','wff')]),
(['implies'],[('sel','wff'),('sel','wff'),('cat','wff')])
]
| 38.363636
| 65
| 0.277251
| 42
| 422
| 2.785714
| 0.309524
| 0.461538
| 0.307692
| 0.410256
| 0.461538
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222749
| 422
| 10
| 66
| 42.2
| 0.356707
| 0
| 0
| 0
| 0
| 0
| 0.274882
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5329a04ed2d7b8a8de09673d9d8a5d3768f3cb5a
| 84
|
py
|
Python
|
common/slow.py
|
spao234/wpt
|
4b9447991bcb28f37b45532caf7f8e8747f9ad41
|
[
"BSD-3-Clause"
] | 575
|
2015-06-18T23:58:20.000Z
|
2022-03-23T09:32:39.000Z
|
common/slow.py
|
spao234/wpt
|
4b9447991bcb28f37b45532caf7f8e8747f9ad41
|
[
"BSD-3-Clause"
] | 153
|
2021-01-28T16:58:19.000Z
|
2022-03-30T22:15:57.000Z
|
common/slow.py
|
spao234/wpt
|
4b9447991bcb28f37b45532caf7f8e8747f9ad41
|
[
"BSD-3-Clause"
] | 52
|
2015-07-14T10:40:50.000Z
|
2022-03-15T01:11:49.000Z
|
import time
def main(request, response):
time.sleep(2)
return 200, [], b''
| 14
| 28
| 0.619048
| 12
| 84
| 4.333333
| 0.916667
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0.061538
| 0.22619
| 84
| 5
| 29
| 16.8
| 0.738462
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| 0.25
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| null | 0
| 0
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| 0
| 1
| 0
| 0
| 0
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| 1
| 0
|
0
| 4
|
533cb901ee223f991a4cfca3d054ea5f4aac172f
| 5,517
|
py
|
Python
|
api/compliance/tests/tests_get_compliance_licences.py
|
django-doctor/lite-api
|
1ba278ba22ebcbb977dd7c31dd3701151cd036bf
|
[
"MIT"
] | 3
|
2019-05-15T09:30:39.000Z
|
2020-04-22T16:14:23.000Z
|
api/compliance/tests/tests_get_compliance_licences.py
|
django-doctor/lite-api
|
1ba278ba22ebcbb977dd7c31dd3701151cd036bf
|
[
"MIT"
] | 85
|
2019-04-24T10:39:35.000Z
|
2022-03-21T14:52:12.000Z
|
api/compliance/tests/tests_get_compliance_licences.py
|
django-doctor/lite-api
|
1ba278ba22ebcbb977dd7c31dd3701151cd036bf
|
[
"MIT"
] | 1
|
2021-01-17T11:12:19.000Z
|
2021-01-17T11:12:19.000Z
|
from datetime import datetime
from freezegun import freeze_time
from django.urls import reverse
from api.cases.enums import CaseTypeEnum
from api.compliance.tests.factories import ComplianceSiteCaseFactory, OpenLicenceReturnsFactory
from api.licences.enums import LicenceStatus
from api.staticdata.statuses.enums import CaseStatusEnum
from api.staticdata.statuses.libraries.get_case_status import get_case_status_by_status
from test_helpers.clients import DataTestClient
def _assert_response_data(self, response_data, licence, completed_olr=False):
self.assertEqual(len(response_data), 1)
self.assertEqual(response_data[0]["id"], str(licence.case_id))
self.assertEqual(response_data[0]["reference_code"], licence.case.reference_code)
self.assertEqual(response_data[0]["status"]["key"], licence.status)
self.assertEqual(response_data[0]["status"]["value"], LicenceStatus.to_str(licence.status))
goods = licence.case.goods_type.all()
self.assertEqual(len(response_data[0]["flags"]), 2)
self.assertEqual(response_data[0]["flags"][0]["name"], goods[0].flags.all()[0].name)
self.assertEqual(response_data[0]["flags"][1]["name"], goods[1].flags.all()[0].name)
self.assertEqual(response_data[0]["flags"][0]["level"], goods[0].flags.all()[0].level)
self.assertEqual(response_data[0]["flags"][1]["level"], goods[1].flags.all()[0].level)
self.assertEqual(response_data[0]["flags"][0]["priority"], goods[0].flags.all()[0].priority)
self.assertEqual(response_data[0]["flags"][1]["priority"], goods[1].flags.all()[0].priority)
self.assertEqual(response_data[0]["case_type"]["id"], str(licence.case.case_type.id))
self.assertEqual(response_data[0]["case_type"]["reference"]["key"], licence.case.case_type.reference)
self.assertEqual(response_data[0]["case_type"]["type"]["key"], licence.case.case_type.type)
self.assertEqual(response_data[0]["case_type"]["sub_type"]["key"], licence.case.case_type.sub_type)
self.assertEqual(response_data[0]["has_open_licence_returns"], completed_olr)
class GetComplianceLicencesTests(DataTestClient):
def test_get_compliance_OIEL_licences_with_outstanding_olr(self):
compliance_case = ComplianceSiteCaseFactory(
organisation=self.organisation,
site=self.organisation.primary_site,
status=get_case_status_by_status(CaseStatusEnum.OPEN),
)
application = self.create_open_application_case(self.organisation)
licence = self.create_licence(application, status=LicenceStatus.ISSUED)
url = reverse("compliance:licences", kwargs={"pk": compliance_case.id})
response = self.client.get(url, **self.gov_headers)
response_data = response.json()["results"]
_assert_response_data(self, response_data, licence)
def test_get_compliance_OICL_licences(self):
compliance_case = ComplianceSiteCaseFactory(
organisation=self.organisation,
site=self.organisation.primary_site,
status=get_case_status_by_status(CaseStatusEnum.OPEN),
)
application = self.create_open_application_case(self.organisation)
application.case_type_id = CaseTypeEnum.OICL.id
application.save()
licence = self.create_licence(application, status=LicenceStatus.ISSUED)
url = reverse("compliance:licences", kwargs={"pk": compliance_case.id})
response = self.client.get(url, **self.gov_headers)
response_data = response.json()["results"]
_assert_response_data(self, response_data, licence)
@freeze_time("2020-06-14")
def test_get_compliance_OIEL_licences_with_completed_olr(self):
compliance_case = ComplianceSiteCaseFactory(
organisation=self.organisation,
site=self.organisation.primary_site,
status=get_case_status_by_status(CaseStatusEnum.OPEN),
)
application = self.create_open_application_case(self.organisation)
application.case_type_id = CaseTypeEnum.OIEL.id
application.save()
licence = self.create_licence(application, status=LicenceStatus.ISSUED)
olr = OpenLicenceReturnsFactory(organisation=self.organisation, year=datetime.now().year - 1)
olr.licences.set([licence])
url = reverse("compliance:licences", kwargs={"pk": compliance_case.id})
response = self.client.get(url, **self.gov_headers)
response_data = response.json()["results"]
_assert_response_data(self, response_data, licence, completed_olr=True)
@freeze_time("2020-06-14")
def test_get_compliance_OIEL_licences_with_2_year_previous_olr(self):
compliance_case = ComplianceSiteCaseFactory(
organisation=self.organisation,
site=self.organisation.primary_site,
status=get_case_status_by_status(CaseStatusEnum.OPEN),
)
application = self.create_open_application_case(self.organisation)
application.case_type_id = CaseTypeEnum.OIEL.id
application.save()
licence = self.create_licence(application, status=LicenceStatus.ISSUED)
olr = OpenLicenceReturnsFactory(organisation=self.organisation, year=datetime.now().year - 2)
olr.licences.set([licence])
url = reverse("compliance:licences", kwargs={"pk": compliance_case.id})
response = self.client.get(url, **self.gov_headers)
response_data = response.json()["results"]
_assert_response_data(self, response_data, licence, completed_olr=False)
| 51.083333
| 105
| 0.725394
| 656
| 5,517
| 5.865854
| 0.141768
| 0.096674
| 0.054054
| 0.105249
| 0.800676
| 0.757277
| 0.70842
| 0.657484
| 0.657484
| 0.634096
| 0
| 0.011732
| 0.150263
| 5,517
| 107
| 106
| 51.560748
| 0.809087
| 0
| 0
| 0.52809
| 0
| 0
| 0.059634
| 0.00435
| 0
| 0
| 0
| 0
| 0.247191
| 1
| 0.05618
| false
| 0
| 0.101124
| 0
| 0.168539
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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| 1
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
535906e5a5c37360d3c60c63c1276a766da36322
| 188
|
py
|
Python
|
scripts/item/consume_2436044.py
|
voidperson/v203.4
|
e885cf9dc0f1adf68ca5fd0a687c360bb9a7913d
|
[
"MIT"
] | 44
|
2020-11-27T00:49:55.000Z
|
2022-03-10T07:27:07.000Z
|
scripts/item/consume_2436044.py
|
voidperson/v203.4
|
e885cf9dc0f1adf68ca5fd0a687c360bb9a7913d
|
[
"MIT"
] | 2
|
2021-02-24T01:04:16.000Z
|
2021-07-18T14:31:09.000Z
|
scripts/item/consume_2436044.py
|
voidperson/v203.4
|
e885cf9dc0f1adf68ca5fd0a687c360bb9a7913d
|
[
"MIT"
] | 49
|
2020-11-25T23:29:16.000Z
|
2022-03-26T16:20:24.000Z
|
# Miho Damage Skin
success = sm.addDamageSkin(2436044)
if success:
sm.chat("The Miho Damage Skin has been added to your account's damage skin collection.")
sm.consumeItem(2436044)
| 31.333333
| 92
| 0.75
| 28
| 188
| 5.035714
| 0.678571
| 0.212766
| 0.198582
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089172
| 0.164894
| 188
| 5
| 93
| 37.6
| 0.808917
| 0.085106
| 0
| 0
| 0
| 0
| 0.452941
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
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| null | 0
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
726a671478fa1d3ffc13d60e051d9eee7010a1ad
| 261
|
py
|
Python
|
azk8sml/constants.py
|
ritazh/azure-k8s-ml-cli
|
2c38dca9c5c7c5f6fc445cfe44b8628ac76ae420
|
[
"Apache-2.0"
] | null | null | null |
azk8sml/constants.py
|
ritazh/azure-k8s-ml-cli
|
2c38dca9c5c7c5f6fc445cfe44b8628ac76ae420
|
[
"Apache-2.0"
] | null | null | null |
azk8sml/constants.py
|
ritazh/azure-k8s-ml-cli
|
2c38dca9c5c7c5f6fc445cfe44b8628ac76ae420
|
[
"Apache-2.0"
] | null | null | null |
DOCKER_IMAGES = {
"cpu": {
"tensorflow": "ritazh/azk8sml-tensorflow:latest",
},
"gpu": {
"tensorflow": "ritazh/azk8sml-tensorflow:latest-gpu",
}
}
DEFAULT_DOCKER_IMAGE = "ritazh/azk8sml-tensorflow:latest"
DEFAULT_ARCH = "cpu"
| 18.642857
| 61
| 0.628352
| 25
| 261
| 6.4
| 0.44
| 0.24375
| 0.43125
| 0.54375
| 0.525
| 0.525
| 0
| 0
| 0
| 0
| 0
| 0.014563
| 0.210728
| 261
| 13
| 62
| 20.076923
| 0.762136
| 0
| 0
| 0
| 0
| 0
| 0.49807
| 0.3861
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
72875af2292844e14970c9d07575f1b9948fada7
| 35
|
py
|
Python
|
python/events/lib/python3.4/_bootlocale.py
|
classmember/proof_of_concept
|
da284ca57806f7c05c1b39bebfe0d681db2260fc
|
[
"MIT"
] | null | null | null |
python/events/lib/python3.4/_bootlocale.py
|
classmember/proof_of_concept
|
da284ca57806f7c05c1b39bebfe0d681db2260fc
|
[
"MIT"
] | 3
|
2020-06-05T23:21:54.000Z
|
2021-06-10T22:02:26.000Z
|
python/events/lib/python3.4/_bootlocale.py
|
classmember/proof_of_concept
|
da284ca57806f7c05c1b39bebfe0d681db2260fc
|
[
"MIT"
] | null | null | null |
/usr/lib64/python3.4/_bootlocale.py
| 35
| 35
| 0.828571
| 6
| 35
| 4.666667
| 1
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0.114286
| 0
| 35
| 1
| 35
| 35
| 0.685714
| 0
| 0
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| 0
| 0
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| 0
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| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 0
| null | 0
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| 0
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| null | 0
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| 0
| 0
| 0
|
0
| 4
|
72c37b020e540362d49382ba277f391db8cae888
| 287,199
|
py
|
Python
|
tests/test_unitary.py
|
razvnane/OpenQL
|
2726e1b3e13fe1fd07173c7d9ac735134ac050e0
|
[
"Apache-2.0"
] | null | null | null |
tests/test_unitary.py
|
razvnane/OpenQL
|
2726e1b3e13fe1fd07173c7d9ac735134ac050e0
|
[
"Apache-2.0"
] | null | null | null |
tests/test_unitary.py
|
razvnane/OpenQL
|
2726e1b3e13fe1fd07173c7d9ac735134ac050e0
|
[
"Apache-2.0"
] | null | null | null |
import os
import unittest
from openql import openql as ql
from utils import file_compare
import re
import numpy as np
try:
from qxelarator import qxelarator
qx = qxelarator.QX()
except ImportError:
qx = None
curdir = os.path.dirname(os.path.realpath(__file__))
config_fn = os.path.join(curdir, 'test_cfg_none_simple.json')
platform = ql.Platform('platform_none', config_fn)
output_dir = os.path.join(curdir, 'test_output')
c0 = ""
def helper_regex(measurementstring):
regex = re.findall('[-0-9.e]+',measurementstring)
i = 0
array = []
while i < len(regex):
array.append(float(regex[i])**2+float(regex[i+1])**2)
i +=3 # so we skip every third occurence, which is the bit string representing the qubit combi
return array
def helper_prob(qubitstate):
return qubitstate.real**2+qubitstate.imag**2
@unittest.skipUnless(ql.Unitary.is_decompose_support_enabled(), "unitary decomposition support was disabled during OpenQL build")
class Test_conjugated_kernel(unittest.TestCase):
@classmethod
def setUp(self):
ql.initialize()
ql.set_option('output_dir', output_dir)
ql.set_option('optimize', 'no')
ql.set_option('scheduler', 'ASAP')
ql.set_option('log_level', 'LOG_NOTHING')
ql.set_option('write_qasm_files', 'yes')
def test_unitary_basic(self):
num_qubits = 3
p = ql.Program('test_unitary_pass', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
u = ql.Unitary('u1', [ complex(1.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(0.0, 1.0)])
u.decompose()
k.gate("i", [0])
k.gate("s", [0])
k.gate(u, [2])
p.add_kernel(k)
p.compile()
def test_unitary_called_hadamard(self):
num_qubits = 3
p = ql.Program('test_unitary_called_hadamard', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
u = ql.Unitary('hadamard', [ complex(1.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(0.0, 1.0)])
u.decompose()
k.gate(u, [2])
p.add_kernel(k)
p.compile()
def test_unitary_undecomposed(self):
num_qubits = 3
p = ql.Program('test_unitary_pass', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
u = ql.Unitary('u1', [ complex(1.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(0.0, 1.0)])
k.gate("s", [0])
# adding un-decomposed u to kernel should raise error
with self.assertRaises(Exception) as cm:
k.gate(u, [2])
self.assertEqual(str(cm.exception).split('\n', maxsplit=1)[0], 'Unitary \'u1\' not decomposed. Cannot be added to kernel!')
def test_unitary_wrongnumberofqubits(self):
num_qubits = 3
p = ql.Program('test_unitary_pass', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
u = ql.Unitary('u1', [ complex(1.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(0.0, 1.0)])
k.gate("s", [0])
# adding un-decomposed u to kernel should raise error
with self.assertRaises(Exception) as cm:
k.gate(u, [1,2])
self.assertEqual(str(cm.exception).split('\n', maxsplit=1)[0], 'Unitary \'u1\' has been applied to the wrong number of qubits. Cannot be added to kernel! 2 and not 1')
def test_unitary_wrongnumberofqubits_toofew(self):
num_qubits = 3
p = ql.Program('test_unitary_pass', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
u = ql.Unitary('u1', [-0.43874989-0.10659111j, -0.47325212+0.12917344j, -0.58227163+0.20750072j, -0.29075334+0.29807585j,
0.30168601-0.22307459j, 0.32626 +0.4534935j , -0.20523265-0.42403593j, -0.01012565+0.5701683j ,
-0.40954341-0.49946371j, 0.28560698-0.06740801j, 0.52146754+0.1833513j , -0.37248653+0.22891636j,
0.03113162-0.48703302j, -0.57180014+0.18486244j, 0.2943625 -0.06148912j, 0.55533888+0.04322811j])
# adding un-decomposed u to kernel should raise error
with self.assertRaises(Exception) as cm:
k.gate(u, [0])
self.assertEqual(str(cm.exception).split('\n', maxsplit=1)[0], 'Unitary \'u1\' has been applied to the wrong number of qubits. Cannot be added to kernel! 1 and not 2')
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_unitary_decompose_I(self):
num_qubits = 1
p = ql.Program('test_unitary_I', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ complex(1.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0), complex(1.0, 0.0) ]
u = ql.Unitary('u1', matrix)
u.decompose()
k.hadamard(0)
k.gate(u, [0])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.5*(helper_prob(matrix[0])+helper_prob(matrix[1])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.5*(helper_prob(matrix[2])+helper_prob(matrix[3])), helper_regex(c0)[0], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_unitary_decompose_X(self):
num_qubits = 1
p = ql.Program('test_unitary_X', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ complex(0.0, 0.0), complex(1.0, 0.0),
complex(1.0, 0.0), complex(0.0, 0.0)]
u = ql.Unitary('u1', matrix)
u.decompose()
k.gate(u, [0])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[2]), helper_regex(c0)[1], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_unitary_decompose_Y(self):
num_qubits = 1
p = ql.Program('test_unitary_Y', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ complex(0.0, 0.0), complex(0.0, -1.0),
complex(0.0, 1.0), complex(0.0, 0.0)]
u = ql.Unitary('u1', matrix)
u.decompose()
k.gate(u, [0])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[2]), helper_regex(c0)[1], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_unitary_decompose_Z(self):
num_qubits = 1
p = ql.Program('test_unitary_Z', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ complex(1.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(-1.0, 0.0)]
u = ql.Unitary('u1', matrix )
u.decompose()
k.gate("hadamard", [0])
k.gate(u, [0])
k.gate("hadamard", [0])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
#HZH = X, so the result should be |0> + |1>
self.assertAlmostEqual(0, helper_regex(c0)[0], 5)
self.assertAlmostEqual(1, helper_regex(c0)[1], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_unitary_decompose_IYZ(self):
num_qubits = 1
p = ql.Program('test_unitary_IYZ', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
u = ql.Unitary('X', [ complex(0.0, 0.0), complex(1.0, 0.0),
complex(1.0, 0.0), complex(0.0, 0.0)])
u.decompose()
k.gate(u, [0])
u = ql.Unitary('Y', [ complex(0.0, 0.0), complex(0.0, -1.0),
complex(0.0, 1.0), complex(0.0, 0.0)])
u.decompose()
k.gate(u, [0])
u = ql.Unitary('Z', [ complex(1.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(-1.0, 0.0)])
u.decompose()
k.gate("hadamard", [0])
k.gate(u, [0])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
#jXYZ = I, so this should change nothing about the state.
self.assertAlmostEqual(0.5, helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.5, helper_regex(c0)[1], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_unitary_decompose_IYZ_differentorder(self):
num_qubits = 1
p = ql.Program('test_unitary_IYZ', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
u = ql.Unitary('X', [ complex(0.0, 0.0), complex(1.0, 0.0),
complex(1.0, 0.0), complex(0.0, 0.0)])
u1 = ql.Unitary('y', [ complex(0.0, 0.0), complex(0.0, -1.0),
complex(0.0, 1.0), complex(0.0, 0.0)])
u2 = ql.Unitary('Z', [ complex(1.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(-1.0, 0.0)])
u.decompose()
u1.decompose()
u2.decompose()
k.gate("hadamard", [0])
k.gate(u, [0])
k.gate(u1, [0])
k.gate(u2, [0])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
#jXYZ = I, so this should change nothing about the state.
self.assertAlmostEqual(0.5, helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.5, helper_regex(c0)[1], 5)
def test_unitary_decompose_nonunitary(self):
num_qubits = 1
p = ql.Program('test_unitary_nonunitary', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
u = ql.Unitary('WRONG', [ complex(0.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(0.0, 0.0)])
with self.assertRaises(Exception) as cm:
u.decompose()
k.gate(u, [0])
add_kernel(k)
p.compile()
self.assertEqual(str(cm.exception).split('\n\n', maxsplit=1)[0], "Error: Unitary 'WRONG' is not a unitary matrix. Cannot be decomposed!(0,0) (0,0)\n(0,0) (0,0)")
# input for the unitary decomposition needs to be an array
def test_unitary_decompose_matrixinsteadofarray(self):
num_qubits = 1
p = ql.Program('test_unitary_wrongtype', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
with self.assertRaises(TypeError) as cm:
u = ql.Unitary('TypeError', [[1, 0], [0,1]])
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_unitary_decompose_2qubit_CNOT(self):
num_qubits = 2
p = ql.Program('test_unitary_2qubitCNOT', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ complex(1.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(1.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0), complex(1.0, 0.0),
complex(0.0, 0.0), complex(0.0, 0.0), complex(1.0, 0.0), complex(0.0, 0.0)]
u = ql.Unitary('cnot',matrix)
u.decompose()
k.gate(u, [0, 1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
#only two states are nonzero
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[4]), helper_regex(c0)[1], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_unitary_decompose_2qubit_CNOT_2(self):
num_qubits = 2
p = ql.Program('test_unitary_2qubitCNOT', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ complex(1.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(1.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0),
complex(0.0, 0.0), complex(0.0, 0.0), complex(0.0, 0.0), complex(1.0, 0.0),
complex(0.0, 0.0), complex(0.0, 0.0), complex(1.0, 0.0), complex(0.0, 0.0)]
u = ql.Unitary('cnot2',matrix)
u.decompose()
k.x(1)
k.gate(u, [0, 1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
#only two states are nonzero
self.assertAlmostEqual(0.0, helper_regex(c0)[0], 5)
self.assertAlmostEqual(1.0, helper_regex(c0)[1], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_non_90_degree_angle(self):
num_qubits = 2
p = ql.Program('test_unitary_non_90_degree_angle', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.43874989-0.10659111j, -0.47325212+0.12917344j, -0.58227163+0.20750072j, -0.29075334+0.29807585j,
0.30168601-0.22307459j, 0.32626 +0.4534935j , -0.20523265-0.42403593j, -0.01012565+0.5701683j ,
-0.40954341-0.49946371j, 0.28560698-0.06740801j, 0.52146754+0.1833513j , -0.37248653+0.22891636j,
0.03113162-0.48703302j, -0.57180014+0.18486244j, 0.2943625 -0.06148912j, 0.55533888+0.04322811j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.gate(u1, [0,1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[4]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[8]), helper_regex(c0)[2], 5)
self.assertAlmostEqual(helper_prob(matrix[12]), helper_regex(c0)[3], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_00(self):
num_qubits = 2
p = ql.Program('test_usingqx00', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.15050486+0.32164259j, -0.29086861+0.76699622j,
0.17865218+0.18573699j, -0.31380116+0.19005417j,
-0.65629705+0.20915109j, 0.32782708+0.16363753j,
-0.54511727-0.21100055j, 0.0601221 -0.21446079j,
-0.38935965-0.47787084j, 0.30279699-0.10056307j,
0.04076564+0.54046282j, -0.23847619+0.40939808j,
0.13874319-0.01460122j, -0.27256915+0.12950497j,
-0.49774672+0.22449364j, 0.6159743 +0.46032394j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.gate(u1, [0,1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[4]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[8]), helper_regex(c0)[2], 5)
self.assertAlmostEqual(helper_prob(matrix[12]), helper_regex(c0)[3], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_01(self):
num_qubits = 2
p = ql.Program('test_usingqx01', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.15050486+0.32164259j, -0.29086861+0.76699622j,
0.17865218+0.18573699j, -0.31380116+0.19005417j,
-0.65629705+0.20915109j, 0.32782708+0.16363753j,
-0.54511727-0.21100055j, 0.0601221 -0.21446079j,
-0.38935965-0.47787084j, 0.30279699-0.10056307j,
0.04076564+0.54046282j, -0.23847619+0.40939808j,
0.13874319-0.01460122j, -0.27256915+0.12950497j,
-0.49774672+0.22449364j, 0.6159743 +0.46032394j]
k.x(0)
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.gate(u1, [0,1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[1]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[5]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[9]), helper_regex(c0)[2], 5)
self.assertAlmostEqual(helper_prob(matrix[13]), helper_regex(c0)[3], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_10(self):
num_qubits = 2
p = ql.Program('test_usingqx10', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.15050486+0.32164259j, -0.29086861+0.76699622j,
0.17865218+0.18573699j, -0.31380116+0.19005417j,
-0.65629705+0.20915109j, 0.32782708+0.16363753j,
-0.54511727-0.21100055j, 0.0601221 -0.21446079j,
-0.38935965-0.47787084j, 0.30279699-0.10056307j,
0.04076564+0.54046282j, -0.23847619+0.40939808j,
0.13874319-0.01460122j, -0.27256915+0.12950497j,
-0.49774672+0.22449364j, 0.6159743 +0.46032394j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.x(1)
k.gate(u1, [0,1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[2]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[6]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[10]), helper_regex(c0)[2], 5)
self.assertAlmostEqual(helper_prob(matrix[14]), helper_regex(c0)[3], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_11(self):
num_qubits = 2
p = ql.Program('test_usingqx11', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.15050486+0.32164259j, -0.29086861+0.76699622j,
0.17865218+0.18573699j, -0.31380116+0.19005417j,
-0.65629705+0.20915109j, 0.32782708+0.16363753j,
-0.54511727-0.21100055j, 0.0601221 -0.21446079j,
-0.38935965-0.47787084j, 0.30279699-0.10056307j,
0.04076564+0.54046282j, -0.23847619+0.40939808j,
0.13874319-0.01460122j, -0.27256915+0.12950497j,
-0.49774672+0.22449364j, 0.6159743 +0.46032394j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.x(0)
k.x(1)
k.gate(u1, [0,1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[3]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[7]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[11]), helper_regex(c0)[2], 5)
self.assertAlmostEqual(helper_prob(matrix[15]), helper_regex(c0)[3], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_bellstate(self):
num_qubits = 2
p = ql.Program('test_usingqxbellstate', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.15050486+0.32164259j, -0.29086861+0.76699622j,
0.17865218+0.18573699j, -0.31380116+0.19005417j,
-0.65629705+0.20915109j, 0.32782708+0.16363753j,
-0.54511727-0.21100055j, 0.0601221 -0.21446079j,
-0.38935965-0.47787084j, 0.30279699-0.10056307j,
0.04076564+0.54046282j, -0.23847619+0.40939808j,
0.13874319-0.01460122j, -0.27256915+0.12950497j,
-0.49774672+0.22449364j, 0.6159743 +0.46032394j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.hadamard(0)
k.cnot(0, 1)
k.gate(u1, [0,1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.5*helper_prob((matrix[0]+ matrix[3])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.5*helper_prob((matrix[4]+matrix[7])), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.5*helper_prob((matrix[8]+ matrix[11])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.5*helper_prob((matrix[12]+ matrix[15])), helper_regex(c0)[3], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_fullyentangled(self):
num_qubits = 2
p = ql.Program('test_usingqxfullentangled', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.15050486+0.32164259j, -0.29086861+0.76699622j,
0.17865218+0.18573699j, -0.31380116+0.19005417j,
-0.65629705+0.20915109j, 0.32782708+0.16363753j,
-0.54511727-0.21100055j, 0.0601221 -0.21446079j,
-0.38935965-0.47787084j, 0.30279699-0.10056307j,
0.04076564+0.54046282j, -0.23847619+0.40939808j,
0.13874319-0.01460122j, -0.27256915+0.12950497j,
-0.49774672+0.22449364j, 0.6159743 +0.46032394j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.cnot(0, 1)
k.gate(u1, [0,1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.25*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] )), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.25*helper_prob((matrix[4] + matrix[5] + matrix[6] + matrix[7] )), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.25*helper_prob((matrix[8] + matrix[9] + matrix[10]+ matrix[11])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.25*helper_prob((matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[3], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_fullyentangled_3qubit(self):
num_qubits = 3
p = ql.Program('test_usingqxfullentangled_3qubit', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-6.71424156e-01+0.20337111j, -1.99816541e-02+0.41660484j,
-1.54134851e-01+0.1944923j , 3.01737845e-01-0.27546267j,
4.44627514e-02+0.09208708j, 2.15969389e-01+0.05602634j,
-4.34685756e-02-0.18679037j, -1.06595244e-02-0.09070964j,
-2.97602383e-01+0.04481956j, -2.02480684e-01-0.38012451j,
2.82743377e-02+0.15314781j, -2.85687313e-01-0.15726268j,
-1.70730583e-04-0.153385j , 2.29149718e-01+0.30741448j,
2.10312109e-01+0.49212858j, -3.59933779e-01-0.0825481j ,
-2.53660227e-01+0.17691007j, 3.13791732e-01+0.27041001j,
-2.02215264e-01-0.11204691j, -8.86804543e-02+0.66976204j,
7.33676579e-02-0.13082467j, -9.97863275e-02+0.01447563j,
-5.89120641e-02+0.4293754j , 3.27562664e-02+0.03619316j,
-1.13124674e-01-0.00735472j, 9.70967395e-02-0.24582965j,
-1.01309756e-01-0.39478792j, 1.63747452e-01-0.02575567j,
-3.55829560e-01+0.48277026j, 2.92508802e-01-0.34856674j,
-2.35490557e-01+0.20291125j, -2.05196931e-01+0.13496088j,
1.00349815e-01-0.11576965j, 2.96991063e-01+0.12974051j,
-4.63456662e-01+0.26944686j, -3.95037450e-01-0.08454082j,
-4.48111249e-01+0.2913104j , -5.36978251e-02+0.25408623j,
2.01534991e-01-0.12684844j, 6.37083728e-03+0.10506858j,
-3.22312837e-01-0.15860928j, 1.56365350e-01-0.10492928j,
3.40842166e-01+0.16770422j, 3.86154376e-02-0.15216514j,
-2.21887101e-01-0.16990398j, -2.64609917e-01-0.06773659j,
-2.76899134e-02+0.12469262j, 2.53068805e-01+0.65839736j,
-1.47285402e-01+0.02010648j, -1.02440846e-01-0.36282662j,
-4.07092321e-01+0.18619875j, -1.51508597e-01+0.08507565j,
-1.60692869e-01-0.43953586j, 1.67488911e-01-0.42784326j,
-1.68066530e-01-0.1864466j , 3.03353139e-01-0.14152888j,
-3.65022492e-01+0.03013316j, 2.23190344e-01-0.25817333j,
8.15042751e-02-0.23635981j, -1.36339839e-01+0.07858377j,
3.21627053e-02+0.00460768j, -4.58271701e-01-0.15103882j,
2.70920093e-01-0.42767654j, -3.77444900e-01-0.17163736j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.hadamard(2)
k.cnot(0, 1)
k.cnot(0, 2)
k.cnot(1, 2)
k.gate(u1, [0,1, 2])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.125*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] + matrix[4] + matrix[5] + matrix[6] + matrix[7])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[8] + matrix[9] + matrix[10]+ matrix[11]+ matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[16] + matrix[17]+ matrix[18]+ matrix[19]+ matrix[20]+ matrix[21]+ matrix[22]+ matrix[23])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[24] + matrix[25]+ matrix[26]+ matrix[27]+ matrix[28]+ matrix[29]+ matrix[30]+ matrix[31])), helper_regex(c0)[3], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[32] + matrix[33]+ matrix[34]+ matrix[35]+ matrix[36]+ matrix[37]+ matrix[38]+ matrix[39])), helper_regex(c0)[4], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[40] + matrix[41]+ matrix[42]+ matrix[43]+ matrix[44]+ matrix[45]+ matrix[46]+ matrix[47])), helper_regex(c0)[5], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[48] + matrix[49]+ matrix[50]+ matrix[51]+ matrix[52]+ matrix[53]+ matrix[54]+ matrix[55])), helper_regex(c0)[6], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[56] + matrix[57]+ matrix[58]+ matrix[59]+ matrix[60]+ matrix[61]+ matrix[62]+ matrix[63])), helper_regex(c0)[7], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_fullyentangled_4qubit(self):
num_qubits = 4
p = ql.Program('test_usingqxfullentangled_4qubit', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.11921901-0.30382154j, -0.10645804-0.11760155j, -0.09639953-0.0353926j , -0.32605797+0.19552924j, 0.0168262 -0.26748208j, -0.17808469+0.25265196j, -0.24676084-0.23228431j, -0.02960302+0.23697569j,
-0.12435741-0.07223017j, 0.00178745+0.14813263j, -0.11173158+0.26636089j, 0.27656908+0.05229833j, -0.02964214-0.01505502j, -0.26959616+0.23274949j, -0.18183627-0.04041783j, 0.05385991-0.05587908j,
0.17894461-0.25668366j, -0.01553181-0.07446613j, 0.1876467 -0.49135878j, -0.18292006-0.04599956j, -0.01618695+0.21951951j, 0.06003169-0.12728871j, -0.04276406+0.08327372j, 0.30102765+0.18403071j,
-0.08122018-0.08375638j, -0.02971758+0.09096399j, 0.10753511-0.03359547j, -0.1596309 +0.20649279j, -0.13684564+0.29450386j, 0.20557421+0.24856224j, 0.0683444 +0.01780095j, -0.22317907-0.12123145j,
-0.0323504 -0.02668934j, 0.08743777-0.49956832j, -0.30202031-0.22517221j, -0.10642491-0.11883126j, -0.13756817-0.20632933j, 0.02593802+0.00583978j, 0.05130972+0.06678859j, -0.10426135-0.14411822j,
0.12318252+0.28583957j, 0.04903179-0.31898637j, -0.07650819-0.07261235j, -0.22918932-0.28329527j, -0.26553775+0.04563403j, -0.07728053+0.14952931j, -0.10271285-0.00216319j, -0.09000117+0.09055528j,
-0.15385903+0.01767834j, 0.42229431-0.05610483j, -0.11330491-0.05458018j, 0.01740815-0.01605897j, -0.11908997-0.01830574j, 0.21139794-0.10602858j, -0.23249721-0.25516076j, -0.29066084-0.19129198j,
0.21273108-0.14369238j, -0.20662513+0.14463032j, 0.2512466 -0.20356141j, 0.0869495 +0.24425667j, 0.09736427-0.03954332j, 0.1446303 +0.14263171j, -0.25679664+0.09389641j, -0.04020309-0.19362247j,
0.12577257-0.14527364j, 0.00371525+0.14235318j, -0.22416134+0.02069087j, 0.03851418-0.05351593j, -0.00289848-0.33289946j, 0.15454716-0.126633j , -0.08996296-0.09119411j, -0.00804455-0.19149767j,
-0.13311475-0.47100304j, -0.13920624-0.16994321j, -0.05030304+0.16820614j, 0.05770089-0.15422191j, -0.23739468-0.05651883j, 0.19202883+0.03893001j, 0.48514604+0.01905479j, -0.01593819-0.06475285j,
0.31543713+0.41579542j, -0.08776349+0.24207219j, -0.07984699-0.12818844j, 0.00359655+0.02677178j, -0.12110453-0.25327887j, -0.21175671-0.1650074j , -0.14570465-0.05140668j, 0.06873883-0.01768705j,
-0.13804809-0.16458822j, 0.15096981-0.02802171j, -0.05750448-0.18911017j, -0.01552104+0.03159908j, -0.0482418 +0.09434822j, 0.1336447 +0.22030451j, -0.3771364 -0.17773263j, 0.16023381+0.26613455j,
0.12688452-0.07290393j, 0.14834649+0.08064162j, -0.06224533+0.04404318j, 0.03464369+0.19965444j, -0.38140629-0.18927599j, -0.19710535-0.178657j , -0.0507885 +0.19579635j, 0.11741615+0.13922702j,
0.2673399 -0.01439493j, 0.10844591-0.19799688j, 0.01177533+0.031846j , -0.07643954+0.25870281j, 0.28971442-0.25385986j, -0.23713666+0.01838019j, 0.1731864 -0.09372299j, -0.36912353-0.02243029j,
0.03562803-0.09449815j, 0.13578229-0.19205153j, 0.21279127+0.14541266j, -0.20195524+0.187477j , -0.06326783+0.0134827j , 0.26953438-0.11153784j, -0.28939961-0.08995754j, 0.20662437-0.15535337j,
-0.03615272+0.00848631j, 0.14124129-0.10250932j, 0.08990493-0.13010897j, -0.04547667+0.17579099j, -0.01292137+0.10354402j, -0.21338733-0.11928412j, 0.19733294+0.12876129j, 0.35162495+0.45226713j,
0.17112722-0.18496045j, -0.34024071-0.09520237j, 0.18864652-0.07147408j, 0.31340662+0.24027412j, -0.0720874 -0.11081564j, 0.08727975+0.02830958j, -0.07584662-0.22555917j, 0.07086867-0.27714915j,
-0.19116148-0.02164144j, -0.24831911+0.1055229j , -0.09939105-0.24800283j, -0.15274706-0.12267535j, 0.05237777-0.09974669j, -0.18435891-0.1737002j , -0.20884292+0.1076081j , -0.31368958-0.02539025j,
0.03436293-0.19794965j, 0.11892581-0.17440358j, -0.03488877+0.02305411j, 0.29835292-0.08836461j, 0.07893495-0.16881403j, 0.21025843+0.13204032j, 0.17194288-0.06285539j, -0.0500497 +0.35833208j,
-0.14979745-0.07567974j, 0.00193804+0.04092128j, -0.07528403-0.18508153j, -0.16873521-0.09470809j, 0.50335605+0.00445803j, 0.11671956+0.30273552j, 0.10253226-0.13365319j, 0.16676135+0.18345473j,
-0.10096334-0.24031019j, -0.18452241+0.05766426j, 0.18102499-0.13532486j, 0.06252468-0.18030042j, -0.00591499+0.07587582j, -0.35209025-0.12186396j, -0.25282963-0.26651504j, -0.13074882+0.14059941j,
0.18125386-0.03889917j, 0.06983104-0.3425076j , 0.37124455-0.00305632j, 0.04469806-0.31220629j, 0.16501585+0.00125887j, 0.15895714-0.14115809j, -0.01515444+0.06836136j, 0.03934186+0.13425449j,
0.0513499 +0.21915368j, 0.00089628-0.3044611j , 0.05443815-0.05530296j, 0.12091374-0.16717579j, -0.06795704-0.2515947j , -0.43324316+0.13138954j, 0.03753289-0.00666299j, 0.16823686-0.22736152j,
-0.00567807+0.05485941j, -0.11705816+0.39078352j, 0.29136164+0.18699453j, -0.09255109+0.08923507j, 0.11214398+0.00806872j, 0.02971631+0.05584961j, 0.2561 +0.22302638j, 0.12491596+0.01725833j,
0.23473354-0.19203316j, -0.09144197-0.04827201j, -0.0630975 -0.16831612j, 0.01497053+0.11121057j, 0.1426864 -0.15815582j, 0.21509872-0.0821851j , 0.00650273+0.42560079j, -0.15721229+0.09919403j,
0.18076365-0.05697395j, -0.10596487+0.23118383j, 0.30913352+0.24695589j, -0.03403863-0.01778209j, -0.07783213-0.25923847j, 0.06847369-0.2460447j , -0.24223779-0.10590238j, 0.15920784+0.21435437j,
0.26632193-0.02864663j, 0.06457043+0.0577428j , -0.38792984+0.08474334j, 0.00944311+0.22274564j, 0.11762823+0.36687658j, -0.1058428 -0.2103637j , -0.12970051-0.27031414j, 0.12684307+0.08398822j,
0.06711923+0.23195763j, -0.04537262+0.26478843j, 0.10253668-0.07706414j, -0.13531665-0.27150259j, -0.09124132-0.23306839j, -0.08631867+0.17221145j, 0.17654328-0.10341264j, 0.11171903-0.05824829j,
0.04708668-0.13436316j, -0.10544253+0.07083904j, 0.04191629+0.28190845j, -0.4212947 -0.28704399j, 0.10278485+0.05713015j, 0.02057009-0.19126408j, 0.04856717+0.26648423j, 0.05388858-0.32433511j,
-0.09408669-0.12159016j, -0.01355394+0.04757554j, 0.10925003-0.0453999j , -0.02512057-0.23836324j, 0.31375479-0.0993564j , -0.14702106+0.33395328j, -0.1608029 +0.11439592j, -0.11028577-0.0093615j ,
-0.08440005-0.12376623j, 0.12932188+0.09711828j, 0.18574716-0.06392924j, -0.13048059+0.0287961j , -0.29552716-0.08768809j, -0.02439943-0.01548155j, 0.07775135+0.00727332j, 0.1561534 -0.06489038j,
0.46665242-0.07708219j, -0.05251139+0.37781248j, -0.3549081 -0.10086123j, 0.11180645-0.40408473j, 0.03031085+0.16928711j, 0.1190129 -0.10061168j, 0.0318046 -0.12504866j, 0.08689947+0.07223655j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.hadamard(2)
k.hadamard(3)
k.cnot(0, 1)
k.cnot(0, 2)
k.cnot(0, 3)
k.cnot(1, 2)
k.cnot(1, 3)
k.cnot(2, 3)
k.gate(u1, [0, 1, 2, 3])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.0625*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] + matrix[4] + matrix[5] + matrix[6] + matrix[7] + matrix[8] + matrix[9] + matrix[10]+ matrix[11]+ matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[16] + matrix[17]+ matrix[18]+ matrix[19]+ matrix[20]+ matrix[21]+ matrix[22]+ matrix[23]+ matrix[24] + matrix[25]+ matrix[26]+ matrix[27]+ matrix[28]+ matrix[29]+ matrix[30]+ matrix[31])), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[32] + matrix[33]+ matrix[34]+ matrix[35]+ matrix[36]+ matrix[37]+ matrix[38]+ matrix[39]+ matrix[40] + matrix[41]+ matrix[42]+ matrix[43]+ matrix[44]+ matrix[45]+ matrix[46]+ matrix[47])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[48] + matrix[49]+ matrix[50]+ matrix[51]+ matrix[52]+ matrix[53]+ matrix[54]+ matrix[55]+ matrix[56] + matrix[57]+ matrix[58]+ matrix[59]+ matrix[60]+ matrix[61]+ matrix[62]+ matrix[63])), helper_regex(c0)[3], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[64] + matrix[65]+ matrix[66]+ matrix[67]+ matrix[68]+ matrix[69]+ matrix[70]+ matrix[71]+ matrix[72] + matrix[73]+ matrix[74]+ matrix[75]+ matrix[76]+ matrix[77]+ matrix[78]+ matrix[79])), helper_regex(c0)[4], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[80] + matrix[81]+ matrix[82]+ matrix[83]+ matrix[84]+ matrix[85]+ matrix[86]+ matrix[87]+ matrix[88] + matrix[89]+ matrix[90]+ matrix[91]+ matrix[92]+ matrix[93]+ matrix[94]+ matrix[95])), helper_regex(c0)[5], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[96] + matrix[97]+ matrix[98]+ matrix[99]+ matrix[100]+ matrix[101]+ matrix[102]+ matrix[103]+ matrix[104] + matrix[105]+ matrix[106]+ matrix[107]+ matrix[108]+ matrix[109]+ matrix[110]+ matrix[111])), helper_regex(c0)[6], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[112] + matrix[113]+ matrix[114]+ matrix[115]+ matrix[116]+ matrix[117]+ matrix[118]+ matrix[119]+ matrix[120] + matrix[121]+ matrix[122]+ matrix[123]+ matrix[124]+ matrix[125]+ matrix[126]+ matrix[127])), helper_regex(c0)[7], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[128] + matrix[129]+ matrix[130]+ matrix[131]+ matrix[132]+ matrix[133]+ matrix[134]+ matrix[135]+ matrix[136] + matrix[137]+ matrix[138]+ matrix[139]+ matrix[140]+ matrix[141]+ matrix[142]+ matrix[143])), helper_regex(c0)[8], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[144] + matrix[145]+ matrix[146]+ matrix[147]+ matrix[148]+ matrix[149]+ matrix[150]+ matrix[151]+ matrix[152] + matrix[153]+ matrix[154]+ matrix[155]+ matrix[156]+ matrix[157]+ matrix[158]+ matrix[159])), helper_regex(c0)[9], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[160] + matrix[161]+ matrix[162]+ matrix[163]+ matrix[164]+ matrix[165]+ matrix[166]+ matrix[167]+ matrix[168] + matrix[169]+ matrix[170]+ matrix[171]+ matrix[172]+ matrix[173]+ matrix[174]+ matrix[175])), helper_regex(c0)[10], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[176] + matrix[177]+ matrix[178]+ matrix[179]+ matrix[180]+ matrix[181]+ matrix[182]+ matrix[183]+ matrix[184] + matrix[185]+ matrix[186]+ matrix[187]+ matrix[188]+ matrix[189]+ matrix[190]+ matrix[191])), helper_regex(c0)[11], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[192] + matrix[193]+ matrix[194]+ matrix[195]+ matrix[196]+ matrix[197]+ matrix[198]+ matrix[199]+ matrix[200] + matrix[201]+ matrix[202]+ matrix[203]+ matrix[204]+ matrix[205]+ matrix[206]+ matrix[207])), helper_regex(c0)[12], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[208] + matrix[209]+ matrix[210]+ matrix[211]+ matrix[212]+ matrix[213]+ matrix[214]+ matrix[215]+ matrix[216] + matrix[217]+ matrix[218]+ matrix[219]+ matrix[220]+ matrix[221]+ matrix[222]+ matrix[223])), helper_regex(c0)[13], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[224] + matrix[225]+ matrix[226]+ matrix[227]+ matrix[228]+ matrix[229]+ matrix[230]+ matrix[231]+ matrix[232] + matrix[233]+ matrix[234]+ matrix[235]+ matrix[236]+ matrix[237]+ matrix[238]+ matrix[239])), helper_regex(c0)[14], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[240] + matrix[241]+ matrix[242]+ matrix[243]+ matrix[244]+ matrix[245]+ matrix[246]+ matrix[247]+ matrix[248] + matrix[249]+ matrix[250]+ matrix[251]+ matrix[252]+ matrix[253]+ matrix[254]+ matrix[255])), helper_regex(c0)[15], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_fullyentangled_5qubit(self):
num_qubits = 5
p = ql.Program('test_usingqxfullentangled_5qubit', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ 0.31869031-9.28734622e-02j, 0.38980148+2.14592427e-01j, 0.20279154-1.56580826e-01j, 0.00210273-2.83970875e-01j, -0.04010672-9.26812940e-02j, 0.15747049+6.08283291e-02j, -0.05274772-6.45225841e-02j, 0.05909439-3.23496026e-02j, 0.07868009+6.77298732e-02j, 0.11290142+2.48468763e-02j, 0.10092033-7.03646679e-02j, -0.03557972-3.39117261e-02j, 0.02241562+1.02714684e-02j, -0.04088796-1.12143173e-01j, -0.00144015+1.83925572e-02j, -0.1257948 -1.15394681e-01j, 0.13531631-1.84271421e-01j, 0.11293592-1.44170392e-01j, -0.06985893-1.36606289e-01j, -0.08924113-6.35923942e-02j, 0.19393965-6.35656579e-02j, -0.02153233-2.76955143e-01j, -0.12094999+1.05716669e-01j, -0.00624879+1.27471575e-01j, -0.13608981-1.22140261e-01j, -0.08243959-1.72734247e-02j, 0.06562052+1.12197102e-01j, -0.01102025-1.53811069e-01j, 0.13576338-8.95540026e-02j, 0.05730484-5.62973657e-02j, -0.08835493-4.13159024e-02j, -0.04533295+3.70144188e-02j, 0.04116657+1.58298973e-01j, 0.22270976-1.18654603e-01j,
0.09219815+8.41433858e-02j, -0.0227499 +2.33343627e-01j, -0.13334752-6.98059663e-02j, -0.07967301-6.54413909e-02j, -0.09158972-7.03627564e-02j, -0.02332636-1.58060290e-02j, 0.23523954-3.48258461e-02j, 0.21329683+6.37364245e-02j, 0.25821394+1.30648709e-03j, -0.1118809 -1.95903237e-01j, -0.07887212-8.81857936e-02j, 0.047632 +9.40535593e-02j, -0.11726632+5.65815234e-02j, 0.08229469-4.38047420e-02j, 0.03117762+1.08469602e-01j, 0.16064616-1.30734886e-01j, 0.22181279-3.31211823e-02j, 0.07309884-2.01468425e-01j, -0.28437382+6.38292807e-02j, -0.23661479+1.17105208e-01j, -0.10436123-5.56443645e-02j, 0.20587544+1.99848797e-02j, 0.20705551+1.75496198e-02j, 0.01791984-8.31956939e-02j, 0.09737992+6.64713628e-03j, 0.0617566 -7.11998970e-02j, 0.03073603-7.25651496e-02j, -0.12056479-1.55358931e-01j, -0.09661589+4.90232280e-03j, 0.03110935-1.72748422e-01j, 0.01473304+3.62629583e-01j, 0.11031868-3.67435519e-03j, 0.04301239-1.64601498e-01j, -0.16432353+7.52258615e-02j,
-0.00648176+6.66215752e-02j, 0.1257427 -3.71759618e-02j, -0.07793634-7.01586304e-02j, 0.0571156 +2.67410653e-01j, -0.00880782+2.09982981e-01j, -0.04961517-6.86953748e-02j, -0.15766986-1.12761472e-01j, -0.07076146-3.12372790e-02j, -0.08715236+9.29279186e-02j, 0.03843817+1.13545744e-01j, -0.10838483-1.19949631e-02j, -0.06342622+1.73231077e-01j, 0.23221532-4.28875040e-02j, 0.16514567-4.90633428e-02j, -0.0109654 +6.37891447e-02j, 0.02171279+5.89435085e-02j, 0.0199925 -2.96609865e-01j, 0.16702912+8.82996853e-02j, 0.19820571+5.01863737e-02j, -0.01237253-1.21196566e-01j, 0.11042294-2.16811518e-01j, -0.01004066-2.36556101e-01j, -0.1286729 -4.01294536e-03j, -0.11254789+5.56025311e-02j, -0.18328088-1.46524167e-02j, -0.13640243-3.71920766e-02j, -0.03793125+9.57786229e-02j, 0.07600542+1.53449546e-01j, -0.12371969+2.19599454e-01j, 0.18106889-3.10905810e-02j, -0.12698597+7.45431556e-02j, 0.02402161-1.66514384e-02j, -0.1431313 +4.63501164e-02j, 0.13656065-8.55748891e-02j,
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-0.25236535-9.40009628e-02j, 0.05804886-1.24296266e-02j, 0.01463484-1.92411356e-01j, 0.02901968-1.95938408e-01j, 0.05900759-5.70542063e-02j, 0.0039289 +1.79168231e-01j, 0.21463779+6.06068544e-02j, 0.02601461+3.44313390e-02j, -0.06804777-1.37777019e-01j, -0.04134655-7.71930937e-02j, 0.26993183+7.04042029e-03j, -0.22478871-1.11219112e-01j, 0.02216198+8.72296592e-03j, 0.00900783-1.81402113e-01j, -0.12568783+5.40727822e-02j, 0.20728804+1.49611785e-01j, -0.1540311 -1.04748775e-01j, 0.11524429+1.78469618e-01j, -0.01784981-2.05987600e-01j, -0.04310959+6.72693611e-02j, 0.09204926+1.24870358e-01j, 0.23044143-1.67687891e-01j, -0.04829998+6.96651901e-03j, -0.09200799-1.69548082e-01j, -0.08599541-5.05360845e-02j, 0.05605567-1.23777989e-02j, 0.09183321+2.03716921e-01j, 0.06046671+1.88609777e-01j, -0.35443088-2.50139768e-01j, -0.10418443+1.53252364e-01j, 0.02878444+4.48922173e-02j, -0.07655359-8.92321321e-03j, 0.06322981-5.98952645e-03j, -0.05895737-7.06273994e-02j,
0.045825 +3.45008534e-02j, -0.0356972 +7.58719989e-03j, -0.18135564+2.31658738e-02j, -0.11367649-1.11799943e-01j, -0.02278714-7.26386363e-03j, 0.00527786+1.70825935e-01j, 0.08659992-2.45702546e-02j, -0.16132867-1.40266073e-01j, -0.16275372+1.57528240e-01j, 0.10098732-4.90008453e-02j, -0.14020292-1.26389028e-01j, -0.13387933-1.77044519e-01j, 0.15233209+1.56396670e-01j, -0.01186549+1.66770551e-01j, -0.05911019-9.37506242e-02j, -0.11032036+2.22422316e-01j, -0.32768772+1.23945218e-01j, 0.11693884+1.01153011e-01j, 0.06380873+2.73797332e-02j, -0.15242003-1.78297868e-01j, 0.08576241-9.81537390e-02j, -0.05483774+2.39049552e-02j, 0.08818984-4.80048981e-02j, 0.13795202+3.39576952e-02j, 0.15420435+1.04809134e-01j, -0.1475717 -8.35910546e-02j, 0.25587669-9.78491595e-02j, 0.12582976+1.06377618e-01j, -0.04885733+5.85877129e-02j, 0.02768058-8.97097222e-02j, -0.09572117-3.14848747e-03j, -0.09107239-1.48042190e-01j, 0.02633147+1.28206292e-02j, -0.00231722+2.40935942e-01j,
0.08505098+4.43364674e-02j, 0.0454237 -1.20532432e-01j, -0.17493652+1.27595262e-01j, 0.01816818-1.93108598e-01j, -0.17931339+1.06943524e-01j, -0.10671963+1.39014451e-05j, 0.11498691+1.93066834e-02j, 0.23000235+1.04393237e-01j, -0.18572715-1.37399401e-01j, 0.13220069-3.09402657e-02j, 0.02990116+1.12157118e-02j, -0.02942283-1.36235506e-03j, -0.13275055-2.01044204e-02j, -0.05513657-1.15044942e-01j, -0.07453253+1.24162429e-01j, 0.19348874+1.65304419e-01j, -0.01684765-8.28080868e-02j, -0.06982499+2.38660768e-02j, -0.29603023-1.04892178e-01j, 0.31520605-5.80965984e-02j, -0.16452607-3.29924630e-02j, 0.13918688+1.34255787e-01j, 0.1461848 -5.91517992e-02j, 0.05246915+2.47209477e-02j, 0.09600898+4.48951448e-02j, -0.03040775+2.25636252e-01j, -0.03104364-1.03378328e-02j, 0.12457642-1.13129265e-02j, 0.25722645-1.07390381e-01j, 0.12453095-1.46405362e-01j, -0.20675192+5.37923723e-02j, -0.08581718-3.76855478e-02j, 0.12881044-7.30139037e-02j, 0.0330913 -1.45171188e-02j,
0.04964024-2.63320298e-01j, -0.06851158+3.25029578e-01j, -0.06736655+3.31741867e-02j, 0.10672767-1.33657818e-02j, -0.03911025+2.71696686e-03j, 0.18376597-2.21089267e-01j, -0.02949093-2.24178456e-02j, -0.07672718+8.63619859e-02j, 0.09011718+1.34863000e-01j, -0.03532004+2.01221708e-02j, -0.0175005 +6.62198244e-02j, 0.17146927+8.06205588e-02j, -0.09194709+3.45310559e-02j, 0.05919149+8.90830332e-03j, -0.03890834+6.41903709e-02j, -0.13501504-3.99845589e-02j, -0.10279042+1.03768681e-01j, -0.05259741-5.87714457e-02j, -0.11719418-2.08936502e-02j, 0.09836174-5.44608131e-02j, -0.22877539+2.08355637e-01j, 0.04941838-9.51260734e-02j, -0.06203396+2.28604981e-02j, 0.12098849-1.44576480e-02j, -0.08451115-1.43356466e-01j, 0.15635672-1.46530151e-02j, -0.20437704-3.79884112e-02j, -0.19636121-1.71501698e-02j, 0.07255917-2.20625252e-01j, -0.28061719+7.71279703e-02j, -0.02084913-1.12045005e-01j, 0.04322484+8.40757110e-03j, 0.06080093-9.41283647e-03j, -0.08052508-4.49212849e-03j,
0.35296504-9.29569583e-02j, 0.30139399+2.02446885e-01j, -0.1043556 -1.29299775e-01j, 0.19156652+1.16499747e-02j, 0.20865974-1.46798336e-01j, -0.13729311-1.50569340e-02j, 0.02152623+1.61941611e-01j, 0.05963193-1.30770158e-01j, 0.06462617-1.66387108e-01j, -0.11403091-8.19783097e-02j, -0.17890047-3.87091987e-02j, 0.05041442+2.34797464e-02j, 0.33716094-2.18366246e-01j, 0.04749898+7.95121529e-02j, -0.14276611+5.91160893e-03j, 0.0727171 -6.38166930e-02j, -0.03268621+7.25536789e-02j, -0.00994355-5.45862875e-02j, -0.10977213+1.11554079e-01j, 0.01783962-2.78702484e-01j, -0.00306595+2.65697928e-02j, 0.1392672 -1.06298955e-01j, -0.10153158-8.24641251e-02j, -0.2693985 +6.47512729e-02j, 0.03236581+4.07523974e-02j, -0.14424473+2.51731413e-01j, -0.01873542-2.47536237e-02j, -0.01356796-8.16033886e-02j, -0.07272296-1.47884513e-01j, 0.01967111-1.46373935e-01j, 0.23073323-8.09684340e-02j, 0.14428689+1.18128043e-01j, -0.06420706+1.47110727e-01j, -0.014288 -1.01535529e-01j,
0.05505723+1.85830802e-02j, 0.00835002+2.95374366e-02j, 0.00710951+4.40654128e-02j, 0.17926977-3.38549657e-01j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.gate(u1, [0, 1, 2, 3, 4])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[32]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[64]), helper_regex(c0)[2], 5)
self.assertAlmostEqual(helper_prob(matrix[96]), helper_regex(c0)[3], 5)
self.assertAlmostEqual(helper_prob(matrix[128]), helper_regex(c0)[4], 5)
self.assertAlmostEqual(helper_prob(matrix[160]), helper_regex(c0)[5], 5)
self.assertAlmostEqual(helper_prob(matrix[192]), helper_regex(c0)[6], 5)
self.assertAlmostEqual(helper_prob(matrix[224]), helper_regex(c0)[7], 5)
self.assertAlmostEqual(helper_prob(matrix[256]), helper_regex(c0)[8], 5)
self.assertAlmostEqual(helper_prob(matrix[288]), helper_regex(c0)[9], 5)
self.assertAlmostEqual(helper_prob(matrix[320]), helper_regex(c0)[10], 5)
self.assertAlmostEqual(helper_prob(matrix[352]), helper_regex(c0)[11], 5)
self.assertAlmostEqual(helper_prob(matrix[384]), helper_regex(c0)[12], 5)
self.assertAlmostEqual(helper_prob(matrix[416]), helper_regex(c0)[13], 5)
self.assertAlmostEqual(helper_prob(matrix[448]), helper_regex(c0)[14], 5)
self.assertAlmostEqual(helper_prob(matrix[480]), helper_regex(c0)[15], 5)
self.assertAlmostEqual(helper_prob(matrix[512]), helper_regex(c0)[16], 5)
self.assertAlmostEqual(helper_prob(matrix[544]), helper_regex(c0)[17], 5)
self.assertAlmostEqual(helper_prob(matrix[576]), helper_regex(c0)[18], 5)
self.assertAlmostEqual(helper_prob(matrix[608]), helper_regex(c0)[19], 5)
self.assertAlmostEqual(helper_prob(matrix[640]), helper_regex(c0)[20], 5)
self.assertAlmostEqual(helper_prob(matrix[672]), helper_regex(c0)[21], 5)
self.assertAlmostEqual(helper_prob(matrix[704]), helper_regex(c0)[22], 5)
self.assertAlmostEqual(helper_prob(matrix[736]), helper_regex(c0)[23], 5)
self.assertAlmostEqual(helper_prob(matrix[768]), helper_regex(c0)[24], 5)
self.assertAlmostEqual(helper_prob(matrix[800]), helper_regex(c0)[25], 5)
self.assertAlmostEqual(helper_prob(matrix[832]), helper_regex(c0)[26], 5)
self.assertAlmostEqual(helper_prob(matrix[864]), helper_regex(c0)[27], 5)
self.assertAlmostEqual(helper_prob(matrix[896]), helper_regex(c0)[28], 5)
self.assertAlmostEqual(helper_prob(matrix[928]), helper_regex(c0)[29], 5)
self.assertAlmostEqual(helper_prob(matrix[960]), helper_regex(c0)[30], 5)
self.assertAlmostEqual(helper_prob(matrix[992]), helper_regex(c0)[31], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_fullyentangled_5qubit_10011(self):
num_qubits = 5
p = ql.Program('test_usingqxfullentangled_5qubit_10011', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ 0.31869031-9.28734622e-02j, 0.38980148+2.14592427e-01j, 0.20279154-1.56580826e-01j, 0.00210273-2.83970875e-01j, -0.04010672-9.26812940e-02j, 0.15747049+6.08283291e-02j, -0.05274772-6.45225841e-02j, 0.05909439-3.23496026e-02j, 0.07868009+6.77298732e-02j, 0.11290142+2.48468763e-02j, 0.10092033-7.03646679e-02j, -0.03557972-3.39117261e-02j, 0.02241562+1.02714684e-02j, -0.04088796-1.12143173e-01j, -0.00144015+1.83925572e-02j, -0.1257948 -1.15394681e-01j, 0.13531631-1.84271421e-01j, 0.11293592-1.44170392e-01j, -0.06985893-1.36606289e-01j, -0.08924113-6.35923942e-02j, 0.19393965-6.35656579e-02j, -0.02153233-2.76955143e-01j, -0.12094999+1.05716669e-01j, -0.00624879+1.27471575e-01j, -0.13608981-1.22140261e-01j, -0.08243959-1.72734247e-02j, 0.06562052+1.12197102e-01j, -0.01102025-1.53811069e-01j, 0.13576338-8.95540026e-02j, 0.05730484-5.62973657e-02j, -0.08835493-4.13159024e-02j, -0.04533295+3.70144188e-02j, 0.04116657+1.58298973e-01j, 0.22270976-1.18654603e-01j,
0.09219815+8.41433858e-02j, -0.0227499 +2.33343627e-01j, -0.13334752-6.98059663e-02j, -0.07967301-6.54413909e-02j, -0.09158972-7.03627564e-02j, -0.02332636-1.58060290e-02j, 0.23523954-3.48258461e-02j, 0.21329683+6.37364245e-02j, 0.25821394+1.30648709e-03j, -0.1118809 -1.95903237e-01j, -0.07887212-8.81857936e-02j, 0.047632 +9.40535593e-02j, -0.11726632+5.65815234e-02j, 0.08229469-4.38047420e-02j, 0.03117762+1.08469602e-01j, 0.16064616-1.30734886e-01j, 0.22181279-3.31211823e-02j, 0.07309884-2.01468425e-01j, -0.28437382+6.38292807e-02j, -0.23661479+1.17105208e-01j, -0.10436123-5.56443645e-02j, 0.20587544+1.99848797e-02j, 0.20705551+1.75496198e-02j, 0.01791984-8.31956939e-02j, 0.09737992+6.64713628e-03j, 0.0617566 -7.11998970e-02j, 0.03073603-7.25651496e-02j, -0.12056479-1.55358931e-01j, -0.09661589+4.90232280e-03j, 0.03110935-1.72748422e-01j, 0.01473304+3.62629583e-01j, 0.11031868-3.67435519e-03j, 0.04301239-1.64601498e-01j, -0.16432353+7.52258615e-02j,
-0.00648176+6.66215752e-02j, 0.1257427 -3.71759618e-02j, -0.07793634-7.01586304e-02j, 0.0571156 +2.67410653e-01j, -0.00880782+2.09982981e-01j, -0.04961517-6.86953748e-02j, -0.15766986-1.12761472e-01j, -0.07076146-3.12372790e-02j, -0.08715236+9.29279186e-02j, 0.03843817+1.13545744e-01j, -0.10838483-1.19949631e-02j, -0.06342622+1.73231077e-01j, 0.23221532-4.28875040e-02j, 0.16514567-4.90633428e-02j, -0.0109654 +6.37891447e-02j, 0.02171279+5.89435085e-02j, 0.0199925 -2.96609865e-01j, 0.16702912+8.82996853e-02j, 0.19820571+5.01863737e-02j, -0.01237253-1.21196566e-01j, 0.11042294-2.16811518e-01j, -0.01004066-2.36556101e-01j, -0.1286729 -4.01294536e-03j, -0.11254789+5.56025311e-02j, -0.18328088-1.46524167e-02j, -0.13640243-3.71920766e-02j, -0.03793125+9.57786229e-02j, 0.07600542+1.53449546e-01j, -0.12371969+2.19599454e-01j, 0.18106889-3.10905810e-02j, -0.12698597+7.45431556e-02j, 0.02402161-1.66514384e-02j, -0.1431313 +4.63501164e-02j, 0.13656065-8.55748891e-02j,
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0.08505098+4.43364674e-02j, 0.0454237 -1.20532432e-01j, -0.17493652+1.27595262e-01j, 0.01816818-1.93108598e-01j, -0.17931339+1.06943524e-01j, -0.10671963+1.39014451e-05j, 0.11498691+1.93066834e-02j, 0.23000235+1.04393237e-01j, -0.18572715-1.37399401e-01j, 0.13220069-3.09402657e-02j, 0.02990116+1.12157118e-02j, -0.02942283-1.36235506e-03j, -0.13275055-2.01044204e-02j, -0.05513657-1.15044942e-01j, -0.07453253+1.24162429e-01j, 0.19348874+1.65304419e-01j, -0.01684765-8.28080868e-02j, -0.06982499+2.38660768e-02j, -0.29603023-1.04892178e-01j, 0.31520605-5.80965984e-02j, -0.16452607-3.29924630e-02j, 0.13918688+1.34255787e-01j, 0.1461848 -5.91517992e-02j, 0.05246915+2.47209477e-02j, 0.09600898+4.48951448e-02j, -0.03040775+2.25636252e-01j, -0.03104364-1.03378328e-02j, 0.12457642-1.13129265e-02j, 0.25722645-1.07390381e-01j, 0.12453095-1.46405362e-01j, -0.20675192+5.37923723e-02j, -0.08581718-3.76855478e-02j, 0.12881044-7.30139037e-02j, 0.0330913 -1.45171188e-02j,
0.04964024-2.63320298e-01j, -0.06851158+3.25029578e-01j, -0.06736655+3.31741867e-02j, 0.10672767-1.33657818e-02j, -0.03911025+2.71696686e-03j, 0.18376597-2.21089267e-01j, -0.02949093-2.24178456e-02j, -0.07672718+8.63619859e-02j, 0.09011718+1.34863000e-01j, -0.03532004+2.01221708e-02j, -0.0175005 +6.62198244e-02j, 0.17146927+8.06205588e-02j, -0.09194709+3.45310559e-02j, 0.05919149+8.90830332e-03j, -0.03890834+6.41903709e-02j, -0.13501504-3.99845589e-02j, -0.10279042+1.03768681e-01j, -0.05259741-5.87714457e-02j, -0.11719418-2.08936502e-02j, 0.09836174-5.44608131e-02j, -0.22877539+2.08355637e-01j, 0.04941838-9.51260734e-02j, -0.06203396+2.28604981e-02j, 0.12098849-1.44576480e-02j, -0.08451115-1.43356466e-01j, 0.15635672-1.46530151e-02j, -0.20437704-3.79884112e-02j, -0.19636121-1.71501698e-02j, 0.07255917-2.20625252e-01j, -0.28061719+7.71279703e-02j, -0.02084913-1.12045005e-01j, 0.04322484+8.40757110e-03j, 0.06080093-9.41283647e-03j, -0.08052508-4.49212849e-03j,
0.35296504-9.29569583e-02j, 0.30139399+2.02446885e-01j, -0.1043556 -1.29299775e-01j, 0.19156652+1.16499747e-02j, 0.20865974-1.46798336e-01j, -0.13729311-1.50569340e-02j, 0.02152623+1.61941611e-01j, 0.05963193-1.30770158e-01j, 0.06462617-1.66387108e-01j, -0.11403091-8.19783097e-02j, -0.17890047-3.87091987e-02j, 0.05041442+2.34797464e-02j, 0.33716094-2.18366246e-01j, 0.04749898+7.95121529e-02j, -0.14276611+5.91160893e-03j, 0.0727171 -6.38166930e-02j, -0.03268621+7.25536789e-02j, -0.00994355-5.45862875e-02j, -0.10977213+1.11554079e-01j, 0.01783962-2.78702484e-01j, -0.00306595+2.65697928e-02j, 0.1392672 -1.06298955e-01j, -0.10153158-8.24641251e-02j, -0.2693985 +6.47512729e-02j, 0.03236581+4.07523974e-02j, -0.14424473+2.51731413e-01j, -0.01873542-2.47536237e-02j, -0.01356796-8.16033886e-02j, -0.07272296-1.47884513e-01j, 0.01967111-1.46373935e-01j, 0.23073323-8.09684340e-02j, 0.14428689+1.18128043e-01j, -0.06420706+1.47110727e-01j, -0.014288 -1.01535529e-01j,
0.05505723+1.85830802e-02j, 0.00835002+2.95374366e-02j, 0.00710951+4.40654128e-02j, 0.17926977-3.38549657e-01j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.x(4)
k.x(1)
k.x(0)
k.gate(u1, [0, 1, 2, 3, 4])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[19+0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[19+32]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[19+64]), helper_regex(c0)[2], 5)
self.assertAlmostEqual(helper_prob(matrix[19+96]), helper_regex(c0)[3], 5)
self.assertAlmostEqual(helper_prob(matrix[19+128]), helper_regex(c0)[4], 5)
self.assertAlmostEqual(helper_prob(matrix[19+160]), helper_regex(c0)[5], 5)
self.assertAlmostEqual(helper_prob(matrix[19+192]), helper_regex(c0)[6], 5)
self.assertAlmostEqual(helper_prob(matrix[19+224]), helper_regex(c0)[7], 5)
self.assertAlmostEqual(helper_prob(matrix[19+256]), helper_regex(c0)[8], 5)
self.assertAlmostEqual(helper_prob(matrix[19+288]), helper_regex(c0)[9], 5)
self.assertAlmostEqual(helper_prob(matrix[19+320]), helper_regex(c0)[10], 5)
self.assertAlmostEqual(helper_prob(matrix[19+352]), helper_regex(c0)[11], 5)
self.assertAlmostEqual(helper_prob(matrix[19+384]), helper_regex(c0)[12], 5)
self.assertAlmostEqual(helper_prob(matrix[19+416]), helper_regex(c0)[13], 5)
self.assertAlmostEqual(helper_prob(matrix[19+448]), helper_regex(c0)[14], 5)
self.assertAlmostEqual(helper_prob(matrix[19+480]), helper_regex(c0)[15], 5)
self.assertAlmostEqual(helper_prob(matrix[19+512]), helper_regex(c0)[16], 5)
self.assertAlmostEqual(helper_prob(matrix[19+544]), helper_regex(c0)[17], 5)
self.assertAlmostEqual(helper_prob(matrix[19+576]), helper_regex(c0)[18], 5)
self.assertAlmostEqual(helper_prob(matrix[19+608]), helper_regex(c0)[19], 5)
self.assertAlmostEqual(helper_prob(matrix[19+640]), helper_regex(c0)[20], 5)
self.assertAlmostEqual(helper_prob(matrix[19+672]), helper_regex(c0)[21], 5)
self.assertAlmostEqual(helper_prob(matrix[19+704]), helper_regex(c0)[22], 5)
self.assertAlmostEqual(helper_prob(matrix[19+736]), helper_regex(c0)[23], 5)
self.assertAlmostEqual(helper_prob(matrix[19+768]), helper_regex(c0)[24], 5)
self.assertAlmostEqual(helper_prob(matrix[19+800]), helper_regex(c0)[25], 5)
self.assertAlmostEqual(helper_prob(matrix[19+832]), helper_regex(c0)[26], 5)
self.assertAlmostEqual(helper_prob(matrix[19+864]), helper_regex(c0)[27], 5)
self.assertAlmostEqual(helper_prob(matrix[19+896]), helper_regex(c0)[28], 5)
self.assertAlmostEqual(helper_prob(matrix[19+928]), helper_regex(c0)[29], 5)
self.assertAlmostEqual(helper_prob(matrix[19+960]), helper_regex(c0)[30], 5)
self.assertAlmostEqual(helper_prob(matrix[19+992]), helper_regex(c0)[31], 5)
def test_adding2tothepower6unitary(self):
num_qubits = 6
p = ql.Program('test_6qubitjustadding', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ 3.66034993e-01+2.16918726e-01j, 4.63119758e-02-1.25284236e-01j, 3.23689480e-01-1.67028180e-02j, -4.01291192e-02-1.53117445e-01j, 1.84825403e-01-3.19144463e-02j, 5.62152150e-03-1.90239447e-02j, -1.37878659e-01-9.85388790e-02j, -4.12560667e-02+2.40591696e-02j, 1.70864304e-02-9.30023497e-02j, 3.56649947e-02-4.69203339e-02j, -3.83183754e-02+5.12024751e-02j, -1.96496357e-02+2.63675889e-02j, -1.43417236e-01+2.87083079e-02j, -7.64191581e-02+8.10632958e-03j, -5.44376216e-02+3.71068995e-02j, 7.89219612e-02+6.00438590e-02j, 2.32485473e-01-2.61279978e-03j, 3.13800342e-02+1.24253833e-02j, -3.80054586e-03-1.73877756e-02j, -7.12322896e-03+9.73966530e-02j, -1.22838320e-02-6.80562063e-02j, 1.04704708e-01+4.17530991e-02j, -1.45411627e-02-4.56578204e-03j, -3.91129910e-02+8.17248378e-02j, 6.36557074e-02+2.21470313e-02j, 1.10349909e-01-1.21376682e-02j, -4.78526826e-02+5.49355237e-02j, -1.20516087e-01+4.01182200e-03j, 9.38275660e-02+2.24713754e-02j, 8.93979520e-02+5.13816205e-03j,
-4.59396339e-02+1.59721722e-02j, -4.28884340e-03-4.63622637e-02j, 6.12649865e-02-1.22841538e-01j, -5.65913752e-02-6.08971314e-02j, -2.32312060e-02-1.65654059e-02j, 1.41147598e-02+4.73394414e-02j, -4.33854823e-02-1.51947091e-01j, -8.13427974e-02+2.99813808e-02j, -1.17417843e-01+1.90630710e-01j, -1.90231845e-02-8.35713650e-02j, -1.22044267e-01-7.47225397e-02j, -3.60683906e-02+6.78243340e-02j, -7.19769659e-02-2.89274301e-03j, 3.35704664e-02-6.57183304e-02j, -1.77382032e-01-2.84971997e-02j, 1.33681237e-01+1.01754278e-01j, 6.82852215e-02+9.51310080e-03j, 7.78691038e-02+2.00563796e-02j, 1.72520999e-02-4.06637398e-02j, -1.01923775e-02+5.59753174e-03j, 3.10544397e-02+1.61785537e-02j, 8.93474575e-03+6.24199961e-03j, 2.81125596e-02-3.97444226e-02j, 1.51177344e-01+2.05815209e-01j, -5.34831140e-02+1.77651158e-01j, -4.40789322e-02-2.71929907e-02j, -9.66417470e-02-6.07156542e-02j, 1.08161080e-01+1.20076484e-01j, 8.21245796e-02-2.30271819e-02j, -8.84132928e-03-5.48481546e-02j,
-5.14895797e-02-1.37500021e-02j, -1.51874055e-02+6.32818901e-02j, 4.75397973e-02-7.13568201e-03j, 3.13807800e-02-1.14525719e-02j, 1.01592567e-01+1.60695903e-01j, 1.27305395e-01+1.95561563e-01j, 1.12090718e-01-6.51290458e-02j, -1.01825786e-04-1.81692203e-02j, 1.54924689e-01+2.64139117e-02j, 9.26041281e-02-1.10472514e-01j, 1.14444819e-01-2.07202663e-02j, 6.75494235e-03-7.42645200e-02j, 7.77019424e-02+7.23999587e-03j, -1.97577945e-02-1.21556587e-01j, -1.53460462e-01-6.09952436e-02j, 4.01985175e-02+6.32614480e-02j, -6.20026282e-02-1.35839473e-01j, 1.29200169e-01+3.78332216e-03j, -2.59883114e-02-9.05275193e-03j, 8.17860302e-02-3.48868665e-02j, -1.60053834e-01-2.02916150e-01j, 4.82858885e-02+1.09125088e-02j, -1.24753204e-02-1.22518525e-01j, -5.80857579e-02-4.19993263e-02j, 2.28396669e-02-8.40966881e-02j, 6.32309194e-02-1.34709187e-01j, -9.62511113e-02-7.66908701e-02j, -9.03694102e-02+1.30290490e-01j, -1.46952433e-01+1.04814111e-01j, -2.72713771e-02+9.46774405e-02j,
6.43591466e-02+4.89870962e-03j, 4.75376946e-04+3.50098669e-02j, -1.49839101e-01+4.44685559e-02j, 3.36051502e-02-1.73310171e-02j, 6.33484348e-02+4.71325034e-02j, -2.17711578e-02+1.31801429e-02j, 1.74906999e-01+1.53006903e-01j, 8.86273947e-02+1.97117753e-01j, 2.80636110e-02-1.05335854e-01j, -2.55400957e-02+3.13987536e-03j, 1.90502728e-01-5.65463143e-02j, -4.83648932e-02+9.12606941e-02j, 5.98563090e-02-7.02341588e-02j, -8.94163863e-03+3.75629282e-02j, 7.28101901e-02+7.14544903e-02j, -6.45875285e-03-3.09883105e-02j, 8.81396901e-03+1.99334329e-01j, 7.90997911e-03-6.52739372e-02j, -6.22843622e-02+1.28419510e-02j, -9.96405825e-02+3.88022827e-02j, 2.56561292e-02-2.23919910e-02j, 6.96886035e-02+3.51775332e-02j, -3.51521748e-02+3.76936524e-02j, 9.75324023e-03+6.65739416e-02j, -6.83377964e-02-6.68801536e-02j, 5.26199194e-03-6.98174024e-02j, -3.18191450e-02-8.73246712e-02j, 7.65668019e-02-2.22700208e-01j, 1.39633338e-01+1.29785687e-01j, 7.76075375e-03+1.07250473e-01j,
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8.47764700e-02-1.36804644e-01j, -4.06295973e-02-3.17316929e-02j, -1.29388374e-01-1.13022235e-01j, 4.05034297e-02-1.51303513e-01j, 5.35895225e-02-9.81906501e-02j, 1.01307296e-02-6.14659966e-02j, 7.19860763e-03-7.87661099e-02j, 6.87236698e-03+7.01353724e-03j, 1.84117743e-01+1.14586080e-01j, 3.91942011e-02-1.67427533e-01j, -4.34340225e-02-2.41238971e-02j, -4.20038485e-02+5.76875010e-02j, 5.23551179e-02-3.79231514e-02j, 1.17465353e-01+1.19464437e-01j, -9.14539775e-02+9.32704953e-02j, -3.28255936e-02+2.00709680e-01j, -3.47973061e-02-6.96489860e-02j, 5.68759165e-02+4.46913265e-02j, -4.55834517e-02-6.49989637e-03j, 6.92236117e-02+6.31449747e-02j, -1.00908352e-01-7.69839513e-03j, 1.81960295e-02-3.79970705e-03j, 1.68374360e-02+1.05842359e-02j, 1.28460284e-01+6.09000930e-02j, -1.02077544e-01+6.69284634e-02j, -1.53969863e-02-1.52720337e-02j, 1.81218895e-01+3.16794729e-02j, -1.24806065e-01+2.26699104e-02j, -3.03130859e-02-2.23873943e-02j, -6.99493462e-02-7.03904849e-03j,
-3.67200875e-02+2.84145877e-02j, 9.43878591e-02+7.21251481e-02j, 6.58129601e-02-3.60549923e-02j, 6.61779478e-02-3.04054186e-02j, -6.13842814e-02-6.07921661e-02j, 8.98783698e-03-7.41166890e-02j, 1.16392800e-02-2.36748091e-02j, -1.10768989e-01+4.56420908e-02j, 3.72471227e-03-1.25668424e-03j, -1.29167025e-01+5.63022023e-02j, 1.05866530e-01+1.86155416e-02j, -6.67515779e-02+6.46395437e-02j, -1.03224770e-02-6.42898639e-02j, 6.21606257e-02-5.26347583e-02j, 2.57841919e-02+3.56828380e-02j, -8.55918562e-02+1.63670027e-01j, -4.31423671e-02+7.94041400e-03j, 8.59410574e-03+5.25343549e-02j, -1.33389296e-02+4.52481973e-03j, 7.58536209e-02+7.06748771e-02j, -4.14761871e-02-1.02294821e-01j, -6.50116056e-02-2.21306166e-02j, 2.33077150e-01+5.67852132e-02j, 4.86390845e-02-2.02001648e-03j, 7.53644961e-02-1.89453116e-02j, 2.08862978e-02-1.49855086e-02j, 1.33052297e-02+1.01522608e-01j, 1.51083846e-01+1.12903477e-01j, -1.62667787e-01+6.56239071e-02j, 1.45208158e-01-5.36623261e-02j,
-6.95826831e-02+1.39196707e-01j, 3.29916774e-02-6.75590243e-02j, 3.95917337e-02+5.93925052e-02j, -2.26219692e-02-2.87050486e-02j, -7.18277375e-02-2.33909540e-01j, 3.23958840e-02+6.33185484e-02j, 6.84165483e-02+1.09982301e-01j, -1.76022868e-02+1.67477409e-01j, 1.23647618e-01+5.72347084e-02j, 1.01034190e-01-2.91422180e-02j, -9.75792719e-02+6.92072056e-02j, 2.24926784e-02+4.92453456e-02j, 9.72881515e-02-1.19536229e-02j, -3.46137229e-02-2.17219106e-01j, 1.18110854e-01-2.25904054e-02j, 7.03378796e-02+3.42026266e-02j, -8.74713404e-02+8.22715157e-03j, -1.03981674e-01-1.24708617e-01j, 3.55529717e-02-3.88864430e-02j, -1.37342148e-01-9.40956813e-02j, 4.45450338e-02+2.39754202e-01j, 2.41743357e-02+2.06386810e-01j, 1.08491505e-01+8.89560185e-02j, 5.47927931e-02+4.36730443e-02j, -1.77677037e-01-1.15306877e-01j, 2.38957141e-02+1.47875042e-01j, 4.55000869e-02-2.62193008e-02j, 2.12153347e-01+1.42025329e-01j, -5.30709017e-02-7.21771704e-02j, -5.46350714e-02+5.94590117e-02j,
4.20227987e-02+5.33808606e-02j, -5.44950519e-03-1.02152548e-01j, -8.52371557e-02+6.87526175e-02j, -9.88849806e-02+8.63653429e-02j, -3.29535337e-02+1.11468767e-01j, -8.91525767e-02-1.10460050e-01j, 8.65861644e-02+6.93102010e-04j, -9.60730971e-02+1.56945079e-01j, -5.14109278e-03-2.81513903e-02j, -1.40068665e-01+2.86562459e-02j, -9.83017425e-02+5.21354581e-02j, 4.69469551e-02-8.89922402e-02j, 2.21941752e-02-5.57626726e-03j, 1.66024586e-01-7.95503934e-02j, -1.38920743e-01+6.04827362e-02j, 8.25451438e-02-6.28766108e-02j, 4.25038037e-02+1.82529097e-02j, 2.62973135e-02-4.18821635e-02j, -1.45761903e-01-1.47286365e-01j, 9.89672045e-02-1.24387645e-01j, -5.78704218e-02-1.62675064e-02j, -4.71981727e-02+2.44048888e-01j, 3.99979719e-02-5.61776567e-02j, -5.90057528e-03-2.06685934e-02j, 1.00743108e-01+1.26113923e-01j, -8.30394273e-02-8.67700959e-02j, -2.42292161e-02+5.45664588e-02j, 1.03200164e-01+4.38793374e-03j, -1.29760046e-01-1.16149074e-01j, -4.06013934e-02-2.91615196e-02j,
-7.66643814e-02-2.82129167e-02j, 5.18827442e-02-9.09744909e-03j, 1.74289199e-02+1.30371358e-01j, -2.12748239e-01+8.60445151e-02j, -4.50027204e-02-4.68921603e-03j, -1.65936974e-02+9.74970666e-03j, 1.89314727e-02-1.52142208e-02j, 1.40710985e-03-7.24579715e-02j, -2.85195855e-02-4.64302487e-02j, 9.28808388e-02-5.38966974e-02j, -8.37647013e-02+3.87783304e-02j, -7.93612636e-02+5.52106771e-02j, -8.24627154e-02-7.29275080e-02j, -9.95466967e-02-2.55863384e-02j, -1.11330369e-01-1.07026510e-02j, 9.03801665e-02+7.48566039e-02j, -1.57610909e-02-2.11373355e-03j, -1.29136461e-01-1.57473543e-02j, 1.44036925e-01-1.17830341e-01j, -1.67628907e-02+1.06263346e-01j, -1.78654592e-02-1.01880945e-01j, -2.49916456e-02+4.60896420e-02j, 2.10042132e-01-7.70664131e-02j, -7.63588341e-02-3.73507331e-02j, -7.46108448e-02+1.98266460e-02j, 7.96343195e-03+3.98058310e-02j, 7.08286705e-02+5.89683331e-02j, 9.06570839e-03-1.68675820e-01j, -7.58415198e-02-1.61708205e-02j, 1.63594232e-01+1.06080863e-01j,
-5.27043428e-02+1.97776646e-01j, 1.68672907e-01+1.72692116e-01j, 1.20883554e-01-4.19624503e-02j, -4.06781283e-02-3.62701240e-02j, -1.81279165e-02-5.02802312e-02j, 1.06586105e-01-6.34529844e-02j, 2.24092969e-01-1.34142134e-02j, 4.64319738e-02-5.98185270e-03j, -7.72761980e-02+6.83240697e-02j, -2.47197188e-02-6.64142633e-02j, 6.12047543e-02-5.67342772e-02j, 6.89583775e-02-7.32779423e-02j, -9.73665566e-02-1.38092077e-01j, 9.42299578e-02-7.83134489e-02j, 4.66576304e-02+5.01211578e-02j, -5.84347124e-03+2.76985347e-02j, 2.32720197e-02-4.52208360e-03j, 1.03896607e-01-4.81745519e-02j, -2.53632308e-02-9.39062130e-02j, -1.33410903e-01+1.61699487e-01j, 1.41818815e-01+7.56963929e-02j, -1.38784180e-01+1.42229126e-01j, -7.82906496e-02+1.02452713e-01j, 1.62728062e-01+5.26600513e-02j, -4.70320160e-02+4.62832652e-02j, -1.34884657e-03+5.09580708e-02j, -1.21163909e-01+1.96909871e-01j, -2.72261417e-01-6.42506010e-02j, 2.86136429e-02+8.86315131e-02j, 5.31085101e-02-2.71828288e-02j,
-3.21727877e-02-5.77796931e-02j, -9.44638527e-02+1.37507662e-02j, -1.21657787e-01+8.65124885e-02j, -4.96839239e-03-2.97644254e-02j, -1.19540366e-01-1.34414909e-01j, 1.30160754e-01-1.26480898e-02j, -7.18591735e-02-2.46715270e-02j, 1.36140893e-01+4.14359423e-02j, -5.71317147e-03-1.18124735e-01j, 3.73988883e-02-2.36730347e-02j, 5.33823290e-02-8.47267547e-03j, 5.80851057e-02-3.92213264e-02j, 2.96021470e-02+1.06824598e-01j, 9.52300406e-02+8.04315308e-02j, -2.19648403e-02-8.28498260e-02j, -2.89222027e-02-9.84731848e-02j, 1.10461055e-01-1.58070614e-01j, 2.09076408e-01+3.68001449e-02j, -6.73813906e-02+9.16108413e-03j, 3.03631342e-02+2.95543290e-02j, -4.54437979e-03-3.18493443e-03j, -7.63023942e-02+1.55592989e-01j, -3.19220889e-02+4.73941064e-02j, 7.13699814e-02-5.69129591e-02j, -9.54995207e-02-3.92267051e-02j, -3.94296081e-02-1.51384146e-01j, 9.68318889e-02-7.70409747e-02j, 1.25939378e-02+3.18634620e-02j, -6.89127002e-02+7.07882363e-02j, 2.43254950e-02+1.16436448e-01j,
-9.91874227e-03-5.42893449e-02j, 1.23743411e-01+4.78200570e-02j, -5.85714409e-02+3.39221080e-02j, 3.65412457e-03-4.02554546e-03j, -2.05342433e-02+2.06713323e-01j, -3.02186741e-03+1.99788433e-02j, 1.16854339e-01-1.15247241e-01j, 9.62932923e-02+3.42143052e-03j, 4.26837528e-02+1.80563531e-01j, -1.23230416e-01+8.43397964e-02j, -1.66241403e-01-7.38559917e-02j, 8.12086119e-02-6.97547686e-03j, -7.31213186e-02+7.79960115e-02j, 2.85823841e-02-2.07511068e-02j, 8.27080727e-02+4.36355847e-02j, -1.10859884e-01-1.36676547e-02j, 1.28303434e-01-1.06149501e-02j, -1.46242136e-01+7.04963534e-02j, -8.26304595e-02-4.38762538e-02j, 1.71071748e-01+4.02667862e-02j, -1.35488426e-01-6.87212472e-02j, -4.67922162e-02-1.03931421e-02j, -2.44813702e-02-5.53092986e-02j, 4.73878499e-02+2.91459937e-02j, 1.98580413e-02-6.12412029e-03j, 1.10488978e-01-2.45764352e-02j, 8.00241132e-02-8.57174156e-02j, 1.03702916e-02-5.49489277e-02j, 3.93099516e-02+3.06121558e-02j, -3.02550594e-02+1.18718205e-01j,
-1.36619382e-01+2.34100763e-02j, -1.45312692e-01-2.24127604e-01j, -2.38248910e-02-1.11579180e-01j, 2.29159458e-02+6.19272697e-02j, 7.32380697e-02+1.36444819e-01j, -4.61302116e-02-2.18822134e-01j, -4.49007145e-02-2.24886131e-02j, -1.47568288e-01-2.04472654e-02j, 2.73175459e-02-2.19629877e-02j, 1.24524515e-01+9.26245193e-02j, -3.55583512e-02+5.09874867e-02j, 1.81713481e-01+8.06582753e-02j, 3.11561167e-02-1.22752357e-01j, -1.72074875e-01-1.29423169e-01j, 5.08999251e-02-6.26136051e-02j, 1.02390035e-01+8.45685534e-02j, 5.52593493e-02+3.68538488e-02j, -5.70061651e-02-4.25009402e-02j, -1.56072617e-02+8.62563257e-03j, -5.21205630e-02+2.36450605e-02j, -1.08956603e-01+5.57188609e-02j, -6.99571459e-02-3.51674530e-02j, 4.86802380e-02+3.37359307e-03j, -4.13618066e-02-2.12316403e-02j, -1.46621977e-01-4.74596174e-02j, -9.63426212e-02+1.72166337e-02j, 2.51705991e-02+3.21369206e-01j, 4.96769009e-02+3.48387702e-02j, -1.04762586e-02+1.56285574e-01j, -3.67404105e-03+7.68483799e-02j,
-4.46016110e-02+1.95201429e-02j, 4.38113722e-02+8.65962895e-03j, 7.74746787e-02+6.94607249e-02j, 2.47130647e-02-1.12600318e-02j, -7.48410468e-02+7.24300380e-02j, -3.77887553e-02-4.43488254e-02j, 1.32708760e-01+4.87164738e-02j, 1.63778016e-01+1.40758747e-01j, 8.20076371e-02-1.79740773e-01j, 5.49371276e-02+3.22196346e-02j, -2.37249431e-02-1.30833713e-01j, 1.19126218e-01+1.15211057e-01j, -8.03659026e-03+2.24442260e-02j, 9.06621949e-02+1.69073869e-02j, -9.84253648e-02-1.22959233e-01j, -1.13106787e-01-1.00708166e-02j]
u1 = ql.Unitary("big6qubitone", matrix)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_usingqx_sparseunitary(self):
num_qubits = 5
p = ql.Program('test_usingqxsparseunitary', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.11921901-0.30382154j, -0.10645804-0.11760155j, -0.09639953-0.0353926j , -0.32605797+0.19552924j, 0.0168262 -0.26748208j, -0.17808469+0.25265196j, -0.24676084-0.23228431j, -0.02960302+0.23697569j,
-0.12435741-0.07223017j, 0.00178745+0.14813263j, -0.11173158+0.26636089j, 0.27656908+0.05229833j, -0.02964214-0.01505502j, -0.26959616+0.23274949j, -0.18183627-0.04041783j, 0.05385991-0.05587908j,
0.17894461-0.25668366j, -0.01553181-0.07446613j, 0.1876467 -0.49135878j, -0.18292006-0.04599956j, -0.01618695+0.21951951j, 0.06003169-0.12728871j, -0.04276406+0.08327372j, 0.30102765+0.18403071j,
-0.08122018-0.08375638j, -0.02971758+0.09096399j, 0.10753511-0.03359547j, -0.1596309 +0.20649279j, -0.13684564+0.29450386j, 0.20557421+0.24856224j, 0.0683444 +0.01780095j, -0.22317907-0.12123145j,
-0.0323504 -0.02668934j, 0.08743777-0.49956832j, -0.30202031-0.22517221j, -0.10642491-0.11883126j, -0.13756817-0.20632933j, 0.02593802+0.00583978j, 0.05130972+0.06678859j, -0.10426135-0.14411822j,
0.12318252+0.28583957j, 0.04903179-0.31898637j, -0.07650819-0.07261235j, -0.22918932-0.28329527j, -0.26553775+0.04563403j, -0.07728053+0.14952931j, -0.10271285-0.00216319j, -0.09000117+0.09055528j,
-0.15385903+0.01767834j, 0.42229431-0.05610483j, -0.11330491-0.05458018j, 0.01740815-0.01605897j, -0.11908997-0.01830574j, 0.21139794-0.10602858j, -0.23249721-0.25516076j, -0.29066084-0.19129198j,
0.21273108-0.14369238j, -0.20662513+0.14463032j, 0.2512466 -0.20356141j, 0.0869495 +0.24425667j, 0.09736427-0.03954332j, 0.1446303 +0.14263171j, -0.25679664+0.09389641j, -0.04020309-0.19362247j,
0.12577257-0.14527364j, 0.00371525+0.14235318j, -0.22416134+0.02069087j, 0.03851418-0.05351593j, -0.00289848-0.33289946j, 0.15454716-0.126633j , -0.08996296-0.09119411j, -0.00804455-0.19149767j,
-0.13311475-0.47100304j, -0.13920624-0.16994321j, -0.05030304+0.16820614j, 0.05770089-0.15422191j, -0.23739468-0.05651883j, 0.19202883+0.03893001j, 0.48514604+0.01905479j, -0.01593819-0.06475285j,
0.31543713+0.41579542j, -0.08776349+0.24207219j, -0.07984699-0.12818844j, 0.00359655+0.02677178j, -0.12110453-0.25327887j, -0.21175671-0.1650074j , -0.14570465-0.05140668j, 0.06873883-0.01768705j,
-0.13804809-0.16458822j, 0.15096981-0.02802171j, -0.05750448-0.18911017j, -0.01552104+0.03159908j, -0.0482418 +0.09434822j, 0.1336447 +0.22030451j, -0.3771364 -0.17773263j, 0.16023381+0.26613455j,
0.12688452-0.07290393j, 0.14834649+0.08064162j, -0.06224533+0.04404318j, 0.03464369+0.19965444j, -0.38140629-0.18927599j, -0.19710535-0.178657j , -0.0507885 +0.19579635j, 0.11741615+0.13922702j,
0.2673399 -0.01439493j, 0.10844591-0.19799688j, 0.01177533+0.031846j , -0.07643954+0.25870281j, 0.28971442-0.25385986j, -0.23713666+0.01838019j, 0.1731864 -0.09372299j, -0.36912353-0.02243029j,
0.03562803-0.09449815j, 0.13578229-0.19205153j, 0.21279127+0.14541266j, -0.20195524+0.187477j , -0.06326783+0.0134827j , 0.26953438-0.11153784j, -0.28939961-0.08995754j, 0.20662437-0.15535337j,
-0.03615272+0.00848631j, 0.14124129-0.10250932j, 0.08990493-0.13010897j, -0.04547667+0.17579099j, -0.01292137+0.10354402j, -0.21338733-0.11928412j, 0.19733294+0.12876129j, 0.35162495+0.45226713j,
0.17112722-0.18496045j, -0.34024071-0.09520237j, 0.18864652-0.07147408j, 0.31340662+0.24027412j, -0.0720874 -0.11081564j, 0.08727975+0.02830958j, -0.07584662-0.22555917j, 0.07086867-0.27714915j,
-0.19116148-0.02164144j, -0.24831911+0.1055229j , -0.09939105-0.24800283j, -0.15274706-0.12267535j, 0.05237777-0.09974669j, -0.18435891-0.1737002j , -0.20884292+0.1076081j , -0.31368958-0.02539025j,
0.03436293-0.19794965j, 0.11892581-0.17440358j, -0.03488877+0.02305411j, 0.29835292-0.08836461j, 0.07893495-0.16881403j, 0.21025843+0.13204032j, 0.17194288-0.06285539j, -0.0500497 +0.35833208j,
-0.14979745-0.07567974j, 0.00193804+0.04092128j, -0.07528403-0.18508153j, -0.16873521-0.09470809j, 0.50335605+0.00445803j, 0.11671956+0.30273552j, 0.10253226-0.13365319j, 0.16676135+0.18345473j,
-0.10096334-0.24031019j, -0.18452241+0.05766426j, 0.18102499-0.13532486j, 0.06252468-0.18030042j, -0.00591499+0.07587582j, -0.35209025-0.12186396j, -0.25282963-0.26651504j, -0.13074882+0.14059941j,
0.18125386-0.03889917j, 0.06983104-0.3425076j , 0.37124455-0.00305632j, 0.04469806-0.31220629j, 0.16501585+0.00125887j, 0.15895714-0.14115809j, -0.01515444+0.06836136j, 0.03934186+0.13425449j,
0.0513499 +0.21915368j, 0.00089628-0.3044611j , 0.05443815-0.05530296j, 0.12091374-0.16717579j, -0.06795704-0.2515947j , -0.43324316+0.13138954j, 0.03753289-0.00666299j, 0.16823686-0.22736152j,
-0.00567807+0.05485941j, -0.11705816+0.39078352j, 0.29136164+0.18699453j, -0.09255109+0.08923507j, 0.11214398+0.00806872j, 0.02971631+0.05584961j, 0.2561 +0.22302638j, 0.12491596+0.01725833j,
0.23473354-0.19203316j, -0.09144197-0.04827201j, -0.0630975 -0.16831612j, 0.01497053+0.11121057j, 0.1426864 -0.15815582j, 0.21509872-0.0821851j , 0.00650273+0.42560079j, -0.15721229+0.09919403j,
0.18076365-0.05697395j, -0.10596487+0.23118383j, 0.30913352+0.24695589j, -0.03403863-0.01778209j, -0.07783213-0.25923847j, 0.06847369-0.2460447j , -0.24223779-0.10590238j, 0.15920784+0.21435437j,
0.26632193-0.02864663j, 0.06457043+0.0577428j , -0.38792984+0.08474334j, 0.00944311+0.22274564j, 0.11762823+0.36687658j, -0.1058428 -0.2103637j , -0.12970051-0.27031414j, 0.12684307+0.08398822j,
0.06711923+0.23195763j, -0.04537262+0.26478843j, 0.10253668-0.07706414j, -0.13531665-0.27150259j, -0.09124132-0.23306839j, -0.08631867+0.17221145j, 0.17654328-0.10341264j, 0.11171903-0.05824829j,
0.04708668-0.13436316j, -0.10544253+0.07083904j, 0.04191629+0.28190845j, -0.4212947 -0.28704399j, 0.10278485+0.05713015j, 0.02057009-0.19126408j, 0.04856717+0.26648423j, 0.05388858-0.32433511j,
-0.09408669-0.12159016j, -0.01355394+0.04757554j, 0.10925003-0.0453999j , -0.02512057-0.23836324j, 0.31375479-0.0993564j , -0.14702106+0.33395328j, -0.1608029 +0.11439592j, -0.11028577-0.0093615j ,
-0.08440005-0.12376623j, 0.12932188+0.09711828j, 0.18574716-0.06392924j, -0.13048059+0.0287961j , -0.29552716-0.08768809j, -0.02439943-0.01548155j, 0.07775135+0.00727332j, 0.1561534 -0.06489038j,
0.46665242-0.07708219j, -0.05251139+0.37781248j, -0.3549081 -0.10086123j, 0.11180645-0.40408473j, 0.03031085+0.16928711j, 0.1190129 -0.10061168j, 0.0318046 -0.12504866j, 0.08689947+0.07223655j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.hadamard(2)
k.hadamard(3)
k.cnot(0, 1)
k.cnot(0, 2)
k.cnot(0, 3)
k.cnot(1, 2)
k.cnot(1, 3)
k.cnot(2, 3)
k.gate(u1, [0, 1, 2, 3])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.0625*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] + matrix[4] + matrix[5] + matrix[6] + matrix[7] + matrix[8] + matrix[9] + matrix[10]+ matrix[11]+ matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[16] + matrix[17]+ matrix[18]+ matrix[19]+ matrix[20]+ matrix[21]+ matrix[22]+ matrix[23]+ matrix[24] + matrix[25]+ matrix[26]+ matrix[27]+ matrix[28]+ matrix[29]+ matrix[30]+ matrix[31])), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[32] + matrix[33]+ matrix[34]+ matrix[35]+ matrix[36]+ matrix[37]+ matrix[38]+ matrix[39]+ matrix[40] + matrix[41]+ matrix[42]+ matrix[43]+ matrix[44]+ matrix[45]+ matrix[46]+ matrix[47])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[48] + matrix[49]+ matrix[50]+ matrix[51]+ matrix[52]+ matrix[53]+ matrix[54]+ matrix[55]+ matrix[56] + matrix[57]+ matrix[58]+ matrix[59]+ matrix[60]+ matrix[61]+ matrix[62]+ matrix[63])), helper_regex(c0)[3], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[64] + matrix[65]+ matrix[66]+ matrix[67]+ matrix[68]+ matrix[69]+ matrix[70]+ matrix[71]+ matrix[72] + matrix[73]+ matrix[74]+ matrix[75]+ matrix[76]+ matrix[77]+ matrix[78]+ matrix[79])), helper_regex(c0)[4], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[80] + matrix[81]+ matrix[82]+ matrix[83]+ matrix[84]+ matrix[85]+ matrix[86]+ matrix[87]+ matrix[88] + matrix[89]+ matrix[90]+ matrix[91]+ matrix[92]+ matrix[93]+ matrix[94]+ matrix[95])), helper_regex(c0)[5], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[96] + matrix[97]+ matrix[98]+ matrix[99]+ matrix[100]+ matrix[101]+ matrix[102]+ matrix[103]+ matrix[104] + matrix[105]+ matrix[106]+ matrix[107]+ matrix[108]+ matrix[109]+ matrix[110]+ matrix[111])), helper_regex(c0)[6], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[112] + matrix[113]+ matrix[114]+ matrix[115]+ matrix[116]+ matrix[117]+ matrix[118]+ matrix[119]+ matrix[120] + matrix[121]+ matrix[122]+ matrix[123]+ matrix[124]+ matrix[125]+ matrix[126]+ matrix[127])), helper_regex(c0)[7], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[128] + matrix[129]+ matrix[130]+ matrix[131]+ matrix[132]+ matrix[133]+ matrix[134]+ matrix[135]+ matrix[136] + matrix[137]+ matrix[138]+ matrix[139]+ matrix[140]+ matrix[141]+ matrix[142]+ matrix[143])), helper_regex(c0)[8], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[144] + matrix[145]+ matrix[146]+ matrix[147]+ matrix[148]+ matrix[149]+ matrix[150]+ matrix[151]+ matrix[152] + matrix[153]+ matrix[154]+ matrix[155]+ matrix[156]+ matrix[157]+ matrix[158]+ matrix[159])), helper_regex(c0)[9], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[160] + matrix[161]+ matrix[162]+ matrix[163]+ matrix[164]+ matrix[165]+ matrix[166]+ matrix[167]+ matrix[168] + matrix[169]+ matrix[170]+ matrix[171]+ matrix[172]+ matrix[173]+ matrix[174]+ matrix[175])), helper_regex(c0)[10], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[176] + matrix[177]+ matrix[178]+ matrix[179]+ matrix[180]+ matrix[181]+ matrix[182]+ matrix[183]+ matrix[184] + matrix[185]+ matrix[186]+ matrix[187]+ matrix[188]+ matrix[189]+ matrix[190]+ matrix[191])), helper_regex(c0)[11], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[192] + matrix[193]+ matrix[194]+ matrix[195]+ matrix[196]+ matrix[197]+ matrix[198]+ matrix[199]+ matrix[200] + matrix[201]+ matrix[202]+ matrix[203]+ matrix[204]+ matrix[205]+ matrix[206]+ matrix[207])), helper_regex(c0)[12], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[208] + matrix[209]+ matrix[210]+ matrix[211]+ matrix[212]+ matrix[213]+ matrix[214]+ matrix[215]+ matrix[216] + matrix[217]+ matrix[218]+ matrix[219]+ matrix[220]+ matrix[221]+ matrix[222]+ matrix[223])), helper_regex(c0)[13], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[224] + matrix[225]+ matrix[226]+ matrix[227]+ matrix[228]+ matrix[229]+ matrix[230]+ matrix[231]+ matrix[232] + matrix[233]+ matrix[234]+ matrix[235]+ matrix[236]+ matrix[237]+ matrix[238]+ matrix[239])), helper_regex(c0)[14], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[240] + matrix[241]+ matrix[242]+ matrix[243]+ matrix[244]+ matrix[245]+ matrix[246]+ matrix[247]+ matrix[248] + matrix[249]+ matrix[250]+ matrix[251]+ matrix[252]+ matrix[253]+ matrix[254]+ matrix[255])), helper_regex(c0)[15], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_extremelysparseunitary(self):
num_qubits = 4
p = ql.Program('test_usingqx_extremelysparseunitary_newname', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [-0.59111943+0.15726005j, -0. +0.j , -0.15509793+0.32339668j, -0. +0.j , -0.33317562+0.00860528j, -0. +0.j , -0.5566068 +0.27625195j, -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j
, -0. +0.j , -0.59111943+0.15726005j, -0. +0.j , -0.15509793+0.32339668j, -0. +0.j , -0.33317562+0.00860528j, -0. +0.j , -0.5566068 +0.27625195j, -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j
, -0.00563624-0.59423429j, 0. -0.j , 0.46013302+0.40732351j, 0. +0.j , -0.30528142-0.21246605j, 0. -0.j , 0.25389832+0.25771317j, 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j
, 0. -0.j , -0.00563624-0.59423429j, 0. +0.j , 0.46013302+0.40732351j, 0. -0.j , -0.30528142-0.21246605j, 0. +0.j , 0.25389832+0.25771317j, 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j
, 0.01676811-0.33500121j, 0. +0.j , -0.46028079-0.49188018j, 0. -0.j , -0.18833511+0.15673318j, -0. +0.j , 0.14043556+0.59492096j, 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , -0. +0.j , -0. +0.j , 0. +0.j , 0. +0.j
, 0. +0.j , 0.01676811-0.33500121j, 0. -0.j , -0.46028079-0.49188018j, -0. +0.j , -0.18833511+0.15673318j, 0. +0.j , 0.14043556+0.59492096j, 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , -0. +0.j , -0. +0.j , 0. +0.j , 0. +0.j
, 0.3733514 +0.14423137j, 0. +0.j , -0.18039476+0.08589294j, -0. +0.j , -0.80479128+0.20701926j, -0. +0.j , 0.06883732-0.32342174j, 0. +0.j , 0. +0.j , 0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , 0. +0.j , 0. +0.j
, 0. +0.j , 0.3733514 +0.14423137j, -0. +0.j , -0.18039476+0.08589294j, -0. +0.j , -0.80479128+0.20701926j, 0. +0.j , 0.06883732-0.32342174j, 0. +0.j , 0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , 0. +0.j , 0. +0.j
, -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0.59111943+0.15726005j, -0. +0.j , -0.15509793+0.32339668j, -0. +0.j , -0.33317562+0.00860528j, -0. +0.j , -0.5566068 +0.27625195j, -0. +0.j
, -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0.59111943+0.15726005j, -0. +0.j , -0.15509793+0.32339668j, -0. +0.j , -0.33317562+0.00860528j, -0. +0.j , -0.5566068 +0.27625195j
, 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , -0.00563624-0.59423429j, 0. -0.j , 0.46013302+0.40732351j, 0. +0.j , -0.30528142-0.21246605j, 0. -0.j , 0.25389832+0.25771317j, 0. +0.j
, 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0. -0.j , -0.00563624-0.59423429j, 0. +0.j , 0.46013302+0.40732351j, 0. -0.j , -0.30528142-0.21246605j, 0. +0.j , 0.25389832+0.25771317j
, 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , -0. +0.j , -0. +0.j , 0. +0.j , 0. +0.j , 0.01676811-0.33500121j, 0. +0.j , -0.46028079-0.49188018j, 0. -0.j , -0.18833511+0.15673318j, -0. +0.j , 0.14043556+0.59492096j, 0. +0.j
, 0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , -0. +0.j , -0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0.01676811-0.33500121j, 0. -0.j , -0.46028079-0.49188018j, -0. +0.j , -0.18833511+0.15673318j, 0. +0.j , 0.14043556+0.59492096j
, 0. +0.j , 0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , 0. +0.j , 0. +0.j , 0.3733514 +0.14423137j, 0. +0.j , -0.18039476+0.08589294j, -0. +0.j , -0.80479128+0.20701926j, -0. +0.j , 0.06883732-0.32342174j, 0. +0.j
, 0. +0.j , 0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , -0. +0.j , 0. +0.j , 0. +0.j , 0. +0.j , 0.3733514 +0.14423137j, -0. +0.j , -0.18039476+0.08589294j, -0. +0.j , -0.80479128+0.20701926j, 0. +0.j , 0.06883732-0.32342174j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.hadamard(2)
k.hadamard(3)
k.cnot(0, 1)
k.cnot(0, 2)
k.cnot(0, 3)
k.cnot(1, 2)
k.cnot(1, 3)
k.cnot(2, 3)
k.gate(u1, [0, 1, 2, 3])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.0625*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] + matrix[4] + matrix[5] + matrix[6] + matrix[7] + matrix[8] + matrix[9] + matrix[10]+ matrix[11]+ matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[16] + matrix[17]+ matrix[18]+ matrix[19]+ matrix[20]+ matrix[21]+ matrix[22]+ matrix[23]+ matrix[24] + matrix[25]+ matrix[26]+ matrix[27]+ matrix[28]+ matrix[29]+ matrix[30]+ matrix[31])), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[32] + matrix[33]+ matrix[34]+ matrix[35]+ matrix[36]+ matrix[37]+ matrix[38]+ matrix[39]+ matrix[40] + matrix[41]+ matrix[42]+ matrix[43]+ matrix[44]+ matrix[45]+ matrix[46]+ matrix[47])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[48] + matrix[49]+ matrix[50]+ matrix[51]+ matrix[52]+ matrix[53]+ matrix[54]+ matrix[55]+ matrix[56] + matrix[57]+ matrix[58]+ matrix[59]+ matrix[60]+ matrix[61]+ matrix[62]+ matrix[63])), helper_regex(c0)[3], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[64] + matrix[65]+ matrix[66]+ matrix[67]+ matrix[68]+ matrix[69]+ matrix[70]+ matrix[71]+ matrix[72] + matrix[73]+ matrix[74]+ matrix[75]+ matrix[76]+ matrix[77]+ matrix[78]+ matrix[79])), helper_regex(c0)[4], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[80] + matrix[81]+ matrix[82]+ matrix[83]+ matrix[84]+ matrix[85]+ matrix[86]+ matrix[87]+ matrix[88] + matrix[89]+ matrix[90]+ matrix[91]+ matrix[92]+ matrix[93]+ matrix[94]+ matrix[95])), helper_regex(c0)[5], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[96] + matrix[97]+ matrix[98]+ matrix[99]+ matrix[100]+ matrix[101]+ matrix[102]+ matrix[103]+ matrix[104] + matrix[105]+ matrix[106]+ matrix[107]+ matrix[108]+ matrix[109]+ matrix[110]+ matrix[111])), helper_regex(c0)[6], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[112] + matrix[113]+ matrix[114]+ matrix[115]+ matrix[116]+ matrix[117]+ matrix[118]+ matrix[119]+ matrix[120] + matrix[121]+ matrix[122]+ matrix[123]+ matrix[124]+ matrix[125]+ matrix[126]+ matrix[127])), helper_regex(c0)[7], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[128] + matrix[129]+ matrix[130]+ matrix[131]+ matrix[132]+ matrix[133]+ matrix[134]+ matrix[135]+ matrix[136] + matrix[137]+ matrix[138]+ matrix[139]+ matrix[140]+ matrix[141]+ matrix[142]+ matrix[143])), helper_regex(c0)[8], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[144] + matrix[145]+ matrix[146]+ matrix[147]+ matrix[148]+ matrix[149]+ matrix[150]+ matrix[151]+ matrix[152] + matrix[153]+ matrix[154]+ matrix[155]+ matrix[156]+ matrix[157]+ matrix[158]+ matrix[159])), helper_regex(c0)[9], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[160] + matrix[161]+ matrix[162]+ matrix[163]+ matrix[164]+ matrix[165]+ matrix[166]+ matrix[167]+ matrix[168] + matrix[169]+ matrix[170]+ matrix[171]+ matrix[172]+ matrix[173]+ matrix[174]+ matrix[175])), helper_regex(c0)[10], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[176] + matrix[177]+ matrix[178]+ matrix[179]+ matrix[180]+ matrix[181]+ matrix[182]+ matrix[183]+ matrix[184] + matrix[185]+ matrix[186]+ matrix[187]+ matrix[188]+ matrix[189]+ matrix[190]+ matrix[191])), helper_regex(c0)[11], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[192] + matrix[193]+ matrix[194]+ matrix[195]+ matrix[196]+ matrix[197]+ matrix[198]+ matrix[199]+ matrix[200] + matrix[201]+ matrix[202]+ matrix[203]+ matrix[204]+ matrix[205]+ matrix[206]+ matrix[207])), helper_regex(c0)[12], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[208] + matrix[209]+ matrix[210]+ matrix[211]+ matrix[212]+ matrix[213]+ matrix[214]+ matrix[215]+ matrix[216] + matrix[217]+ matrix[218]+ matrix[219]+ matrix[220]+ matrix[221]+ matrix[222]+ matrix[223])), helper_regex(c0)[13], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[224] + matrix[225]+ matrix[226]+ matrix[227]+ matrix[228]+ matrix[229]+ matrix[230]+ matrix[231]+ matrix[232] + matrix[233]+ matrix[234]+ matrix[235]+ matrix[236]+ matrix[237]+ matrix[238]+ matrix[239])), helper_regex(c0)[14], 5)
self.assertAlmostEqual(0.0625*helper_prob((matrix[240] + matrix[241]+ matrix[242]+ matrix[243]+ matrix[244]+ matrix[245]+ matrix[246]+ matrix[247]+ matrix[248] + matrix[249]+ matrix[250]+ matrix[251]+ matrix[252]+ matrix[253]+ matrix[254]+ matrix[255])), helper_regex(c0)[15], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_sparse2qubitunitary(self):
num_qubits = 2
p = ql.Program('test_usingqx_sparse2qubit', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ 0.2309453 -0.79746147j, -0.53683301+0.15009925j, 0. +0.j , -0. +0.j
, 0.39434916-0.39396473j, 0.80810853+0.19037107j, 0. +0.j , 0. +0.j
, 0. +0.j , -0. +0.j , 0.2309453 -0.79746147j, -0.53683301+0.15009925j
, 0. +0.j , 0. +0.j , 0.39434916-0.39396473j, 0.80810853+0.19037107j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.gate(u1, [0, 1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[4]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[8]), 0, 5) # Zero probabilities do not show up in the output list
self.assertAlmostEqual(helper_prob(matrix[12]), 0, 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_sparse2qubitunitaryotherqubit(self):
num_qubits = 2
p = ql.Program('test_usingqx_sparse2qubitotherqubit', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ 0.30279949-0.60010283j, 0. +0.j , -0.58058628-0.45946559j, 0. -0.j
, 0. +0.j , 0.30279949-0.60010283j, 0. -0.j , -0.58058628-0.45946559j
, 0.04481146-0.73904059j, 0. +0.j , 0.64910478+0.17456782j, 0. +0.j
, 0. +0.j , 0.04481146-0.73904059j, 0. +0.j , 0.64910478+0.17456782j]
u1 = ql.Unitary("sparse2_qubit_unitary_other_qubit",matrix)
u1.decompose()
k.gate(u1, [0, 1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[4]), 0, 5) # Zero probabilities do not show up in the output list
self.assertAlmostEqual(helper_prob(matrix[8]), helper_regex(c0)[1], 5)
self.assertAlmostEqual(helper_prob(matrix[12]), 0, 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_sparse2qubitunitaryotherqubitcheck(self):
num_qubits = 1
p = ql.Program('test_usingqx_sparse2qubitotherqubit_test', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ 0.30279949-0.60010283j, -0.58058628-0.45946559j
, 0.04481146-0.73904059j, 0.64910478+0.17456782j]
u1 = ql.Unitary("testname",matrix)
u1.decompose()
k.gate(u1, [0])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(helper_prob(matrix[0]), helper_regex(c0)[0], 5)
self.assertAlmostEqual(helper_prob(matrix[1]), helper_regex(c0)[1], 5) # Zero probabilities do not show up in the output list
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_sparse2qubit_multiplexor(self):
num_qubits = 2
p = ql.Program('test_usingqx_sparse2qubit_multiplexor', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [ 0.30279949-0.60010283j, -0.58058628-0.45946559j, 0 , 0
, 0.04481146-0.73904059j, 0.64910478+0.17456782j, 0 , 0
, 0. +0.j , -0. +0.j , 0.2309453 -0.79746147j, -0.53683301+0.15009925j
, 0. +0.j , 0. +0.j , 0.39434916-0.39396473j, 0.80810853+0.19037107j]
u1 = ql.Unitary("multiplexor",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.gate(u1, [0, 1])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.25*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] )), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.25*helper_prob((matrix[4] + matrix[5] + matrix[6] + matrix[7] )), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.25*helper_prob((matrix[8] + matrix[9] + matrix[10]+ matrix[11])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.25*helper_prob((matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[3], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_decomposition_rotatedtoffoli(self):
num_qubits = 3
p = ql.Program('test_usingqx_rotatedtoffoli', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = (np.exp(-1j*0.3*3.141562)*np.array([[1, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1],
[0, 0, 0, 0, 0, 0, 1, 0]])).flatten()
u1 = ql.Unitary("rotatedtoffoli",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.hadamard(2)
k.gate(u1, [0, 1, 2])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.125*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] + matrix[4] + matrix[5] + matrix[6] + matrix[7])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[8] + matrix[9] + matrix[10]+ matrix[11]+ matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[16] + matrix[17]+ matrix[18]+ matrix[19]+ matrix[20]+ matrix[21]+ matrix[22]+ matrix[23])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[24] + matrix[25]+ matrix[26]+ matrix[27]+ matrix[28]+ matrix[29]+ matrix[30]+ matrix[31])), helper_regex(c0)[3], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[32] + matrix[33]+ matrix[34]+ matrix[35]+ matrix[36]+ matrix[37]+ matrix[38]+ matrix[39])), helper_regex(c0)[4], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[40] + matrix[41]+ matrix[42]+ matrix[43]+ matrix[44]+ matrix[45]+ matrix[46]+ matrix[47])), helper_regex(c0)[5], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[48] + matrix[49]+ matrix[50]+ matrix[51]+ matrix[52]+ matrix[53]+ matrix[54]+ matrix[55])), helper_regex(c0)[6], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[56] + matrix[57]+ matrix[58]+ matrix[59]+ matrix[60]+ matrix[61]+ matrix[62]+ matrix[63])), helper_regex(c0)[7], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_decomposition_toffoli(self):
num_qubits = 3
p = ql.Program('test_usingqx_toffoli', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = np.array([[1, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1],
[0, 0, 0, 0, 0, 0, 1, 0]]).flatten()
u1 = ql.Unitary("rotatedtoffoli",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.hadamard(2)
k.gate(u1, [0, 1, 2])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.125*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] + matrix[4] + matrix[5] + matrix[6] + matrix[7])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[8] + matrix[9] + matrix[10]+ matrix[11]+ matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[16] + matrix[17]+ matrix[18]+ matrix[19]+ matrix[20]+ matrix[21]+ matrix[22]+ matrix[23])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[24] + matrix[25]+ matrix[26]+ matrix[27]+ matrix[28]+ matrix[29]+ matrix[30]+ matrix[31])), helper_regex(c0)[3], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[32] + matrix[33]+ matrix[34]+ matrix[35]+ matrix[36]+ matrix[37]+ matrix[38]+ matrix[39])), helper_regex(c0)[4], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[40] + matrix[41]+ matrix[42]+ matrix[43]+ matrix[44]+ matrix[45]+ matrix[46]+ matrix[47])), helper_regex(c0)[5], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[48] + matrix[49]+ matrix[50]+ matrix[51]+ matrix[52]+ matrix[53]+ matrix[54]+ matrix[55])), helper_regex(c0)[6], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[56] + matrix[57]+ matrix[58]+ matrix[59]+ matrix[60]+ matrix[61]+ matrix[62]+ matrix[63])), helper_regex(c0)[7], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_decomposition_controlled_U(self):
num_qubits = 3
p = ql.Program('test_usingqx_toffoli', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = np.array([[1, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0.30279949-0.60010283j, -0.58058628-0.45946559j],
[0, 0, 0, 0, 0 ,0, 0.04481146-0.73904059j, 0.64910478+0.17456782j]]).flatten()
u1 = ql.Unitary("arbitrarycontrolled",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.hadamard(2)
k.gate(u1, [0, 1, 2])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
self.assertAlmostEqual(0.125*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] + matrix[4] + matrix[5] + matrix[6] + matrix[7])), helper_regex(c0)[0], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[8] + matrix[9] + matrix[10]+ matrix[11]+ matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[1], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[16] + matrix[17]+ matrix[18]+ matrix[19]+ matrix[20]+ matrix[21]+ matrix[22]+ matrix[23])), helper_regex(c0)[2], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[24] + matrix[25]+ matrix[26]+ matrix[27]+ matrix[28]+ matrix[29]+ matrix[30]+ matrix[31])), helper_regex(c0)[3], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[32] + matrix[33]+ matrix[34]+ matrix[35]+ matrix[36]+ matrix[37]+ matrix[38]+ matrix[39])), helper_regex(c0)[4], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[40] + matrix[41]+ matrix[42]+ matrix[43]+ matrix[44]+ matrix[45]+ matrix[46]+ matrix[47])), helper_regex(c0)[5], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[48] + matrix[49]+ matrix[50]+ matrix[51]+ matrix[52]+ matrix[53]+ matrix[54]+ matrix[55])), helper_regex(c0)[6], 5)
self.assertAlmostEqual(0.125*helper_prob((matrix[56] + matrix[57]+ matrix[58]+ matrix[59]+ matrix[60]+ matrix[61]+ matrix[62]+ matrix[63])), helper_regex(c0)[7], 5)
@unittest.skipIf(qx is None, "qxelarator not installed")
def test_decomposition_mscthesisaritra(self):
num_qubits = 4
p = ql.Program('test_usingqx_mscthesisaritra', platform, num_qubits)
k = ql.Kernel('akernel', platform, num_qubits)
matrix = [0.3672 ,-0.3654 ,-0.3654 ,-0.2109 ,-0.3654 ,-0.2109 ,-0.2109 ,-0.1218 ,-0.3654 ,-0.2109 ,-0.2109 ,-0.1218 ,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703
,-0.3654 , 0.7891 ,-0.2109 ,-0.1218 ,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406
,-0.3654 ,-0.2109 , 0.7891 ,-0.1218 ,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406
,-0.2109 ,-0.1218 ,-0.1218 , 0.9297 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234
,-0.3654 ,-0.2109 ,-0.2109 ,-0.1218 , 0.7891 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406
,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 , 0.9297 ,-0.0703 ,-0.0406 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234
,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 ,-0.0703 , 0.9297 ,-0.0406 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234
,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 , 0.9766 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234 ,-0.0406 ,-0.0234 ,-0.0234 ,-0.0135
,-0.3654 ,-0.2109 ,-0.2109 ,-0.1218 ,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 , 0.7891 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406
,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.1218 , 0.9297 ,-0.0703 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234
,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.1218 ,-0.0703 , 0.9297 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234
,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234 ,-0.0703 ,-0.0406 ,-0.0406 , 0.9766 ,-0.0406 ,-0.0234 ,-0.0234 ,-0.0135
,-0.2109 ,-0.1218 ,-0.1218 ,-0.0703 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 , 0.9297 ,-0.0406 ,-0.0406 ,-0.0234
,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234 ,-0.0406 , 0.9766 ,-0.0234 ,-0.0135
,-0.1218 ,-0.0703 ,-0.0703 ,-0.0406 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234 ,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234 ,-0.0406 ,-0.0234 , 0.9766 ,-0.0135
,-0.0703 ,-0.0406 ,-0.0406 ,-0.0234 ,-0.0406 ,-0.0234 ,-0.0234 ,-0.0135 ,-0.0406 ,-0.0234 ,-0.0234 ,-0.0135 ,-0.0234 ,-0.0135 ,-0.0135 , 0.9922]
u1 = ql.Unitary("mscthesisaritra",matrix)
u1.decompose()
k.hadamard(0)
k.hadamard(1)
k.hadamard(2)
k.hadamard(3)
k.gate(u1, [0, 1, 2, 3])
p.add_kernel(k)
p.compile()
qx.set(os.path.join(output_dir, p.name+'.qasm'))
qx.execute()
c0 = qx.get_state()
# less accuracy because of less accurate input
self.assertAlmostEqual(0.0625*helper_prob((matrix[0] + matrix[1] + matrix[2] + matrix[3] + matrix[4] + matrix[5] + matrix[6] + matrix[7] + matrix[8] + matrix[9] + matrix[10]+ matrix[11]+ matrix[12]+ matrix[13]+ matrix[14]+ matrix[15])), helper_regex(c0)[0], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[16] + matrix[17]+ matrix[18]+ matrix[19]+ matrix[20]+ matrix[21]+ matrix[22]+ matrix[23]+ matrix[24] + matrix[25]+ matrix[26]+ matrix[27]+ matrix[28]+ matrix[29]+ matrix[30]+ matrix[31])), helper_regex(c0)[1], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[32] + matrix[33]+ matrix[34]+ matrix[35]+ matrix[36]+ matrix[37]+ matrix[38]+ matrix[39]+ matrix[40] + matrix[41]+ matrix[42]+ matrix[43]+ matrix[44]+ matrix[45]+ matrix[46]+ matrix[47])), helper_regex(c0)[2], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[48] + matrix[49]+ matrix[50]+ matrix[51]+ matrix[52]+ matrix[53]+ matrix[54]+ matrix[55]+ matrix[56] + matrix[57]+ matrix[58]+ matrix[59]+ matrix[60]+ matrix[61]+ matrix[62]+ matrix[63])), helper_regex(c0)[3], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[64] + matrix[65]+ matrix[66]+ matrix[67]+ matrix[68]+ matrix[69]+ matrix[70]+ matrix[71]+ matrix[72] + matrix[73]+ matrix[74]+ matrix[75]+ matrix[76]+ matrix[77]+ matrix[78]+ matrix[79])), helper_regex(c0)[4], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[80] + matrix[81]+ matrix[82]+ matrix[83]+ matrix[84]+ matrix[85]+ matrix[86]+ matrix[87]+ matrix[88] + matrix[89]+ matrix[90]+ matrix[91]+ matrix[92]+ matrix[93]+ matrix[94]+ matrix[95])), helper_regex(c0)[5], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[96] + matrix[97]+ matrix[98]+ matrix[99]+ matrix[100]+ matrix[101]+ matrix[102]+ matrix[103]+ matrix[104] + matrix[105]+ matrix[106]+ matrix[107]+ matrix[108]+ matrix[109]+ matrix[110]+ matrix[111])), helper_regex(c0)[6], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[112] + matrix[113]+ matrix[114]+ matrix[115]+ matrix[116]+ matrix[117]+ matrix[118]+ matrix[119]+ matrix[120] + matrix[121]+ matrix[122]+ matrix[123]+ matrix[124]+ matrix[125]+ matrix[126]+ matrix[127])), helper_regex(c0)[7], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[128] + matrix[129]+ matrix[130]+ matrix[131]+ matrix[132]+ matrix[133]+ matrix[134]+ matrix[135]+ matrix[136] + matrix[137]+ matrix[138]+ matrix[139]+ matrix[140]+ matrix[141]+ matrix[142]+ matrix[143])), helper_regex(c0)[8], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[144] + matrix[145]+ matrix[146]+ matrix[147]+ matrix[148]+ matrix[149]+ matrix[150]+ matrix[151]+ matrix[152] + matrix[153]+ matrix[154]+ matrix[155]+ matrix[156]+ matrix[157]+ matrix[158]+ matrix[159])), helper_regex(c0)[9], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[160] + matrix[161]+ matrix[162]+ matrix[163]+ matrix[164]+ matrix[165]+ matrix[166]+ matrix[167]+ matrix[168] + matrix[169]+ matrix[170]+ matrix[171]+ matrix[172]+ matrix[173]+ matrix[174]+ matrix[175])), helper_regex(c0)[10], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[176] + matrix[177]+ matrix[178]+ matrix[179]+ matrix[180]+ matrix[181]+ matrix[182]+ matrix[183]+ matrix[184] + matrix[185]+ matrix[186]+ matrix[187]+ matrix[188]+ matrix[189]+ matrix[190]+ matrix[191])), helper_regex(c0)[11], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[192] + matrix[193]+ matrix[194]+ matrix[195]+ matrix[196]+ matrix[197]+ matrix[198]+ matrix[199]+ matrix[200] + matrix[201]+ matrix[202]+ matrix[203]+ matrix[204]+ matrix[205]+ matrix[206]+ matrix[207])), helper_regex(c0)[12], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[208] + matrix[209]+ matrix[210]+ matrix[211]+ matrix[212]+ matrix[213]+ matrix[214]+ matrix[215]+ matrix[216] + matrix[217]+ matrix[218]+ matrix[219]+ matrix[220]+ matrix[221]+ matrix[222]+ matrix[223])), helper_regex(c0)[13], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[224] + matrix[225]+ matrix[226]+ matrix[227]+ matrix[228]+ matrix[229]+ matrix[230]+ matrix[231]+ matrix[232] + matrix[233]+ matrix[234]+ matrix[235]+ matrix[236]+ matrix[237]+ matrix[238]+ matrix[239])), helper_regex(c0)[14], 2)
self.assertAlmostEqual(0.0625*helper_prob((matrix[240] + matrix[241]+ matrix[242]+ matrix[243]+ matrix[244]+ matrix[245]+ matrix[246]+ matrix[247]+ matrix[248] + matrix[249]+ matrix[250]+ matrix[251]+ matrix[252]+ matrix[253]+ matrix[254]+ matrix[255])), helper_regex(c0)[15], 2)
if __name__ == '__main__':
unittest.main()
| 195.108016
| 1,007
| 0.701437
| 47,933
| 287,199
| 4.185321
| 0.240586
| 0.022252
| 0.004023
| 0.004227
| 0.471709
| 0.470648
| 0.46987
| 0.469192
| 0.467463
| 0.464083
| 0
| 0.597471
| 0.110711
| 287,199
| 1,471
| 1,008
| 195.240653
| 0.188013
| 0.002476
| 0
| 0.624593
| 0
| 0.000814
| 0.009907
| 0.002339
| 0
| 0
| 0
| 0
| 0.184853
| 1
| 0.032573
| false
| 0.003257
| 0.006515
| 0.000814
| 0.041531
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
72c981372f8011575564bc3a7558f7af4ad19e77
| 263
|
py
|
Python
|
diffiqult/Param.py
|
ferchault/DiffiQult
|
f675f5afce1056bfb96df3a1997da1187e388267
|
[
"MIT"
] | 30
|
2018-01-11T20:35:32.000Z
|
2021-12-23T02:21:55.000Z
|
diffiqult/Param.py
|
ferchault/DiffiQult
|
f675f5afce1056bfb96df3a1997da1187e388267
|
[
"MIT"
] | 1
|
2018-01-17T11:02:04.000Z
|
2018-01-17T11:02:04.000Z
|
diffiqult/Param.py
|
ferchault/DiffiQult
|
f675f5afce1056bfb96df3a1997da1187e388267
|
[
"MIT"
] | 5
|
2018-10-20T14:31:24.000Z
|
2021-08-30T20:17:31.000Z
|
select_atom ={
1: "H",
3: "Li",
6: "C",
7: "N",
8: "O",
9: "F",
}
select_weight ={
1: 1.00794,
6: 12,
7: 15,
8: 16,
9: 18.998403,
}
| 15.470588
| 23
| 0.235741
| 28
| 263
| 2.142857
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.298077
| 0.604563
| 263
| 16
| 24
| 16.4375
| 0.278846
| 0
| 0
| 0
| 0
| 0
| 0.026616
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
72cfc15bada9b63f42c5f265db77957a4d1d2477
| 7,557
|
py
|
Python
|
tests/api/endpoints/test_search_user.py
|
jjzhang166/seahub
|
8ced28759fc1e158196a7743eb149882451f9143
|
[
"Apache-2.0"
] | null | null | null |
tests/api/endpoints/test_search_user.py
|
jjzhang166/seahub
|
8ced28759fc1e158196a7743eb149882451f9143
|
[
"Apache-2.0"
] | null | null | null |
tests/api/endpoints/test_search_user.py
|
jjzhang166/seahub
|
8ced28759fc1e158196a7743eb149882451f9143
|
[
"Apache-2.0"
] | null | null | null |
import json
from mock import patch
from django.core.urlresolvers import reverse
from django.test import override_settings
from seahub.contacts.models import Contact
from seahub.profile.models import Profile
from seahub.profile.utils import refresh_cache
from seahub.api2.endpoints.search_user import SearchUser
from seahub.test_utils import BaseTestCase
from tests.common.utils import randstring
class SearchUserTest(BaseTestCase):
def setUp(self):
self.login_as(self.user)
self.endpoint = reverse('search-user')
@override_settings(CLOUD_MODE = False)
def test_can_search(self):
email = self.admin.email
nickname = 'admin_test'
contact_email= 'new_admin_test@test.com'
p = Profile.objects.add_or_update(email, nickname=nickname)
p.contact_email = contact_email
p.save()
resp = self.client.get(self.endpoint + '?q=' + email)
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'] is not None
assert json_resp['users'][0]['email'] == email
assert json_resp['users'][0]['avatar_url'] is not None
assert json_resp['users'][0]['name'] == nickname
assert json_resp['users'][0]['contact_email'] == contact_email
@override_settings(CLOUD_MODE = False)
def test_search_myself(self):
email = self.user.email
nickname = 'user_test'
contact_email= 'new_user_test@test.com'
p = Profile.objects.add_or_update(email, nickname=nickname)
p.contact_email = contact_email
p.save()
resp = self.client.get(self.endpoint + '?q=' + email)
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'] is not None
assert json_resp['users'][0]['email'] == email
assert json_resp['users'][0]['avatar_url'] is not None
assert json_resp['users'][0]['name'] == nickname
assert json_resp['users'][0]['contact_email'] == contact_email
@override_settings(CLOUD_MODE = False)
def test_search_without_myself(self):
email = self.user.email
resp = self.client.get(self.endpoint + '?include_self=0&q=' + email)
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert len(json_resp['users']) == 0
@override_settings(CLOUD_MODE = False)
def test_search_unregistered_user(self):
resp = self.client.get(self.endpoint + '?q=unregistered_user@seafile.com')
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert len(json_resp['users']) == 0
@override_settings(CLOUD_MODE = False)
def test_can_search_by_nickname(self):
admin_email = self.admin.email
p = Profile.objects.add_or_update(admin_email, nickname="Carl Smith")
p.contact_email = 'new_mail@test.com'
p.save()
refresh_cache(self.user.email)
resp = self.client.get(self.endpoint + '?q=' + "Carl")
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'] is not None
assert json_resp['users'][0]['email'] == admin_email
assert json_resp['users'][0]['avatar_url'] is not None
assert json_resp['users'][0]['name'] == 'Carl Smith'
assert json_resp['users'][0]['contact_email'] == 'new_mail@test.com'
@override_settings(CLOUD_MODE = False)
def test_can_search_by_nickname_insensitive(self):
admin_email = self.admin.email
p = Profile.objects.add_or_update(admin_email, nickname="Carl Smith")
p.contact_email = 'new_mail@test.com'
p.save()
refresh_cache(admin_email)
# test lower case
resp = self.client.get(self.endpoint + '?q=' + "carl")
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'] is not None
assert json_resp['users'][0]['email'] == admin_email
assert json_resp['users'][0]['avatar_url'] is not None
assert json_resp['users'][0]['name'] == 'Carl Smith'
assert json_resp['users'][0]['contact_email'] == 'new_mail@test.com'
# test upper case
resp = self.client.get(self.endpoint + '?q=' + "CARL")
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'] is not None
assert json_resp['users'][0]['email'] == admin_email
assert json_resp['users'][0]['avatar_url'] is not None
assert json_resp['users'][0]['name'] == 'Carl Smith'
assert json_resp['users'][0]['contact_email'] == 'new_mail@test.com'
@override_settings(CLOUD_MODE = False)
def test_can_search_by_contact_email(self):
admin_email = self.admin.email
nickname = 'admin_test'
p = Profile.objects.add_or_update(admin_email, nickname=nickname)
p.contact_email = 'new_mail@test.com'
p.save()
refresh_cache(self.user.email)
resp = self.client.get(self.endpoint + '?q=' + 'new_mail')
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'] is not None
assert json_resp['users'][0]['email'] == admin_email
assert json_resp['users'][0]['avatar_url'] is not None
assert json_resp['users'][0]['name'] == nickname
assert json_resp['users'][0]['contact_email'] == 'new_mail@test.com'
@override_settings(CLOUD_MODE = True)
@override_settings(ENABLE_GLOBAL_ADDRESSBOOK = False)
@patch('seahub.api2.endpoints.search_user.is_org_context')
def test_search_full_email(self, mock_is_org_context):
mock_is_org_context.return_value = False
resp = self.client.get(self.endpoint + '?q=%s' % self.admin.username)
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'][0]['email'] == self.admin.username
@patch.object(SearchUser, '_can_use_global_address_book')
def test_search_when_not_use_global_address_book(self, mock_can_use_global_address_book):
mock_can_use_global_address_book.return_value = False
contact_email = '%s@%s.com' % (randstring(6), randstring(6))
p = Profile.objects.add_or_update(self.admin.username, nickname='')
p.contact_email = contact_email
p.save()
# search with valid email
resp = self.client.get(self.endpoint + '?q=%s' % contact_email)
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'][0]['email'] == self.admin.username
# search with invalid email & has no contacts
resp = self.client.get(self.endpoint + '?q=%s' % contact_email[:6])
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert len(json_resp['users']) == 0
# search with invalid email & has contact
nickname_of_admin = randstring(6)
Contact.objects.add_contact(self.user.username, self.admin.username)
Profile.objects.add_or_update(self.admin.username, nickname=nickname_of_admin)
resp = self.client.get(self.endpoint + '?q=%s' % nickname_of_admin)
json_resp = json.loads(resp.content)
self.assertEqual(200, resp.status_code)
assert json_resp['users'][0]['email'] == self.admin.username
| 39.565445
| 93
| 0.661109
| 1,012
| 7,557
| 4.715415
| 0.106719
| 0.080469
| 0.098072
| 0.131391
| 0.789396
| 0.761945
| 0.737846
| 0.716471
| 0.694887
| 0.64627
| 0
| 0.012236
| 0.210533
| 7,557
| 190
| 94
| 39.773684
| 0.78763
| 0.018394
| 0
| 0.652778
| 0
| 0
| 0.11252
| 0.020642
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.069444
| false
| 0
| 0.069444
| 0
| 0.145833
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
72df838c80db8f118e99eaf0b897fc92de7e57d8
| 449
|
py
|
Python
|
src/the_tale/the_tale/common/old_views/helpers.py
|
al-arz/the-tale
|
542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5
|
[
"BSD-3-Clause"
] | 85
|
2017-11-21T12:22:02.000Z
|
2022-03-27T23:07:17.000Z
|
src/the_tale/the_tale/common/old_views/helpers.py
|
al-arz/the-tale
|
542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5
|
[
"BSD-3-Clause"
] | 545
|
2017-11-04T14:15:04.000Z
|
2022-03-27T14:19:27.000Z
|
src/the_tale/the_tale/common/old_views/helpers.py
|
al-arz/the-tale
|
542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5
|
[
"BSD-3-Clause"
] | 45
|
2017-11-11T12:36:30.000Z
|
2022-02-25T06:10:44.000Z
|
import smart_imports
smart_imports.all()
class EmptyResourceTestClass(resources.BaseResource):
def initialize(self):
super(ResourceTestClass, self).initialize()
class ResourceTestClass(resources.BaseResource):
def initialize(self):
super(ResourceTestClass, self).initialize()
@resources.handler('')
def index(self):
pass
@resources.handler('#object_id', 'show')
def show(self):
pass
| 17.96
| 53
| 0.685969
| 43
| 449
| 7.093023
| 0.44186
| 0.078689
| 0.157377
| 0.222951
| 0.485246
| 0.485246
| 0.485246
| 0.485246
| 0.485246
| 0
| 0
| 0
| 0.200445
| 449
| 24
| 54
| 18.708333
| 0.849582
| 0
| 0
| 0.428571
| 0
| 0
| 0.03125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.142857
| 0.142857
| 0
| 0.571429
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
f406c300ef1b163b5c4f982ae4292138f2d66f21
| 242
|
py
|
Python
|
Interview Preparation Kit - Python/01. Warm-up Challenges/004. Repeated String.py
|
Snehakri022/HackerrankPractice
|
15c2da0bfb4bce744b345c4a3613ae9a769f2676
|
[
"MIT"
] | 831
|
2018-05-12T19:06:09.000Z
|
2022-03-31T19:33:54.000Z
|
Interview Preparation Kit - Python/01. Warm-up Challenges/004. Repeated String.py
|
Snehakri022/HackerrankPractice
|
15c2da0bfb4bce744b345c4a3613ae9a769f2676
|
[
"MIT"
] | 2
|
2019-06-17T14:58:56.000Z
|
2021-03-05T23:49:59.000Z
|
Interview Preparation Kit - Python/01. Warm-up Challenges/004. Repeated String.py
|
Snehakri022/HackerrankPractice
|
15c2da0bfb4bce744b345c4a3613ae9a769f2676
|
[
"MIT"
] | 457
|
2018-06-11T07:01:57.000Z
|
2022-03-28T11:08:34.000Z
|
# Problem: https://www.hackerrank.com/challenges/repeated-string/problem
# Score: 20
def repeated_string(s, n):
return n // len(s) * s.count('a') + s[0: n % len(s)].count('a')
s = input()
n = int(input())
print(repeated_string(s, n))
| 20.166667
| 72
| 0.636364
| 40
| 242
| 3.8
| 0.525
| 0.276316
| 0.197368
| 0.210526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014563
| 0.14876
| 242
| 11
| 73
| 22
| 0.723301
| 0.330579
| 0
| 0
| 0
| 0
| 0.012579
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0.2
| 0.4
| 0.2
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
f4493af5011517edce155b8e665063b02aa30a73
| 2,092
|
py
|
Python
|
agent/random/random_agent.py
|
X-DDDDD/Competition_3v3snakes
|
22b35f6e20b77e8710d8a8593a26fd48a940d7e6
|
[
"MIT"
] | 38
|
2021-08-04T08:39:00.000Z
|
2021-12-21T02:11:55.000Z
|
agent/random/random_agent.py
|
X-DDDDD/Competition_3v3snakes
|
22b35f6e20b77e8710d8a8593a26fd48a940d7e6
|
[
"MIT"
] | 3
|
2021-08-13T06:40:34.000Z
|
2021-12-21T03:41:23.000Z
|
agent/random/random_agent.py
|
X-DDDDD/Competition_3v3snakes
|
22b35f6e20b77e8710d8a8593a26fd48a940d7e6
|
[
"MIT"
] | 28
|
2021-02-26T12:52:31.000Z
|
2021-12-25T14:41:42.000Z
|
def sample_single_dim(action_space_list_each, is_act_continuous):
each = []
if is_act_continuous:
each = action_space_list_each.sample()
else:
if action_space_list_each.__class__.__name__ == "Discrete":
each = [0] * action_space_list_each.n
idx = action_space_list_each.sample()
each[idx] = 1
elif action_space_list_each.__class__.__name__ == "MultiDiscreteParticle":
each = []
nvec = action_space_list_each.high - action_space_list_each.low + 1
sample_indexes = action_space_list_each.sample()
for i in range(len(nvec)):
dim = nvec[i]
new_action = [0] * dim
index = sample_indexes[i]
new_action[index] = 1
each.extend(new_action)
return each
def sample(action_space_list_each, is_act_continuous):
player = []
if is_act_continuous:
for j in range(len(action_space_list_each)):
each = action_space_list_each[j].sample()
player.append(each)
else:
player = []
for j in range(len(action_space_list_each)):
# each = [0] * action_space_list_each[j]
# idx = np.random.randint(action_space_list_each[j])
if action_space_list_each[j].__class__.__name__ == "Discrete":
each = [0] * action_space_list_each[j].n
idx = action_space_list_each[j].sample()
each[idx] = 1
player.append(each)
elif action_space_list_each[j].__class__.__name__ == "MultiDiscreteParticle":
each = []
nvec = action_space_list_each[j].high
sample_indexes = action_space_list_each[j].sample()
for i in range(len(nvec)):
dim = nvec[i] + 1
new_action = [0] * dim
index = sample_indexes[i]
new_action[index] = 1
each.extend(new_action)
player.append(each)
return player
| 38.740741
| 89
| 0.56501
| 248
| 2,092
| 4.302419
| 0.165323
| 0.216495
| 0.29522
| 0.373946
| 0.792877
| 0.729147
| 0.558575
| 0.436739
| 0.436739
| 0.253046
| 0
| 0.008
| 0.342734
| 2,092
| 53
| 90
| 39.471698
| 0.768
| 0.042543
| 0
| 0.565217
| 0
| 0
| 0.029015
| 0.021011
| 0
| 0
| 0
| 0
| 0
| 1
| 0.043478
| false
| 0
| 0
| 0
| 0.086957
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f44c41fa19798b58e1114a24320bc950bab7d977
| 829
|
py
|
Python
|
management/__init__.py
|
anthill-gaming/game_master
|
aa0af04b7e6f2073a1b71878bdce46ca534a107e
|
[
"MIT"
] | 1
|
2018-11-30T21:56:14.000Z
|
2018-11-30T21:56:14.000Z
|
management/__init__.py
|
anthill-gaming/game_master
|
aa0af04b7e6f2073a1b71878bdce46ca534a107e
|
[
"MIT"
] | null | null | null |
management/__init__.py
|
anthill-gaming/game_master
|
aa0af04b7e6f2073a1b71878bdce46ca534a107e
|
[
"MIT"
] | null | null | null |
"""
Example:
from anthill.framework.core.management import Command, Option, Manager
class YourCommand(Command):
help = 'Some help text here.'
name = None
option_list = (
Option('-f', '--foo', dest='foo', default=None,
help='some help text here.'),
)
def run(self, *args, **kwargs):
# Your command here.
pass
class YourManager(Manager):
name = None
manager = YourManager(usage='Some help text here.')
@manager.option('-f', '--foo', dest='foo', default=None,
help="some help text here.")
def foo(*args, **kwargs):
# Your command here.
pass
"""
from anthill.framework.core.management import Command, Option, Manager
# Create your management commands here.
| 21.815789
| 74
| 0.564536
| 90
| 829
| 5.188889
| 0.377778
| 0.068522
| 0.102784
| 0.137045
| 0.642398
| 0.599572
| 0.475375
| 0.475375
| 0.475375
| 0.218415
| 0
| 0
| 0.308806
| 829
| 37
| 75
| 22.405405
| 0.815009
| 0.899879
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
f44efa4a7bdad95bd04199cbf8e9e29d7fcdfe94
| 37
|
py
|
Python
|
singleton.py
|
duducosmos/piarm
|
725d0b2c40e40a301ae1cb2352108a4fd07d170b
|
[
"Apache-2.0"
] | null | null | null |
singleton.py
|
duducosmos/piarm
|
725d0b2c40e40a301ae1cb2352108a4fd07d170b
|
[
"Apache-2.0"
] | null | null | null |
singleton.py
|
duducosmos/piarm
|
725d0b2c40e40a301ae1cb2352108a4fd07d170b
|
[
"Apache-2.0"
] | null | null | null |
import cv2
CAM = cv2.VideoCapture(0)
| 12.333333
| 25
| 0.756757
| 6
| 37
| 4.666667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 0.135135
| 37
| 2
| 26
| 18.5
| 0.78125
| 0
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
f45e540518e5ac7ddc5915a0ecd83918f4691334
| 173
|
py
|
Python
|
app/utils/urlutils.py
|
s1hofmann/MrHyde2.0-Backbone
|
d1d95cb8ba3e2db60c75218625453b915e87e1bf
|
[
"MIT"
] | 3
|
2017-05-14T20:11:49.000Z
|
2018-04-12T03:56:06.000Z
|
app/utils/urlutils.py
|
s1hofmann/MrHyde2.0-Backbone
|
d1d95cb8ba3e2db60c75218625453b915e87e1bf
|
[
"MIT"
] | null | null | null |
app/utils/urlutils.py
|
s1hofmann/MrHyde2.0-Backbone
|
d1d95cb8ba3e2db60c75218625453b915e87e1bf
|
[
"MIT"
] | null | null | null |
from flask import flash, redirect, url_for
def flash_and_redirect_to_index(message, category):
flash(message, category)
return redirect(url_for('jekyll.welcome'))
| 24.714286
| 51
| 0.774566
| 24
| 173
| 5.333333
| 0.666667
| 0.171875
| 0.21875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132948
| 173
| 6
| 52
| 28.833333
| 0.853333
| 0
| 0
| 0
| 0
| 0
| 0.080925
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f46aa0bf96013f52af1573615e2c533665d0ca97
| 94,109
|
py
|
Python
|
tests/request_mock_data.py
|
gaschu95/Wikipedia
|
b2cf390e4d11f2a3195bcf44dee9f6a9e9b31ecf
|
[
"MIT"
] | null | null | null |
tests/request_mock_data.py
|
gaschu95/Wikipedia
|
b2cf390e4d11f2a3195bcf44dee9f6a9e9b31ecf
|
[
"MIT"
] | null | null | null |
tests/request_mock_data.py
|
gaschu95/Wikipedia
|
b2cf390e4d11f2a3195bcf44dee9f6a9e9b31ecf
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
mock_data = {
"_wiki_request calls": {
(('explaintext', ''), ('prop', 'extracts|revisions'), ('rvprop', 'ids'), ('titles', 'Celtuce')):
{'query': {'pages': {'1868108': {'extract': 'Celtuce (Lactuca sativa var. asparagina, augustana, or angustata), also called stem lettuce, celery lettuce, asparagus lettuce, or Chinese lettuce, IPA (UK,US) /\u02c8s\u025blt.\u0259s/, is a cultivar of lettuce grown primarily for its thick stem, used as a vegetable. It is especially popular in China, and is called wosun (Chinese: \u83b4\u7b0b; pinyin: w\u014ds\u016dn) or woju (Chinese: \u83b4\u82e3; pinyin: w\u014dj\xf9) (although the latter name may also be used to mean lettuce in general).\n\nThe stem is usually harvested at a length of around 15\u201320 cm and a diameter of around 3\u20134 cm. It is crisp, moist, and mildly flavored, and typically prepared by slicing and then stir frying with more strongly flavored ingredients.\n\nDown: Photos of the celtuce, chinese lettuce or "Wosun" taken in the province of Girona (Catalonia, Spain, Europe) in June 2013\nCeltuce Nutritional content', 'ns': 0, 'pageid': 1868108, 'revisions': [{'revid': 575687826, 'parentid': 574302108}], 'title': 'Celtuce'}}}},
(('explaintext', ''), ('prop', 'extracts|revisions'), ('rvprop', 'ids'), ('titles', 'Tropical Depression Ten (2005)')):
{'query': {'pages': {'21196082': {'extract': 'Tropical Depression Ten was the tenth tropical cyclone of the record-breaking 2005 Atlantic hurricane season. It formed on August 13 from a tropical wave that emerged from the west coast of Africa on August 8. As a result of strong wind shear, the depression remained weak and did not strengthen beyond tropical depression status. The cyclone degenerated on August 14, although its remnants partially contributed to the formation of Tropical Depression Twelve, which eventually intensified into Hurricane Katrina. The cyclone had no effect on land, and did not directly result in any fatalities or damage.\n\n\n== Meteorological history ==\n\nOn August 8, a tropical wave emerged from the west coast of Africa and entered the Atlantic Ocean. Tracking towards the west, the depression began to exhibit signs of convective organization on August 11. The system continued to develop, and it is estimated that Tropical Depression Ten formed at 1200 UTC on August 13. At the time, it was located about 1,600 miles (2,600 km) east of Barbados. Upon its designation, the depression consisted of a large area of thunderstorm activity, with curved banding features and expanding outflow. However, the environmental conditions were predicted to quickly become unfavorable. The depression moved erratically and slowly towards the west, and wind shear inhibited any significant intensification. Late on August 13, it was "beginning to look like Irene-junior as it undergoes southwesterly mid-level shear beneath the otherwise favorable upper-level outflow pattern". The wind shear was expected to relent within 48 hours, prompting some forecast models to suggest the depression would eventually attain hurricane status.\nBy early August 14, the shear had substantially disrupted the storm, leaving the low-level center of circulation exposed from the area of convection, which was also deteriorating. After meandering, the storm began to move westward. Forecasters expected it to resume a northwestward track as high pressure to the south of Bermuda was forecasted to weaken and another high was predicted to form southwest of the Azores. By 1800 UTC on August 14, the strong shear had further weakened the storm, and it no longer met the criteria for a tropical cyclone. It degenerated into a remnant low, and the National Hurricane Center issued their final advisory on the cyclone. Moving westward, it occasionally produced bursts of convective activity, before dissipating on August 18.\nTropical Depression Twelve formed over the southeastern Bahamas at 2100 UTC on August 23, partially from the remains of Tropical Depression Ten. While the normal standards for numbering tropical depressions in the Atlantic stipulate that the initial designation be retained when a depression regenerates, satellite imagery indicated that a second tropical wave had combined with Tropical Depression Ten north of Puerto Rico to form a new, more complex weather system, which was then designated as Tropical Depression Twelve. In a re-analysis, it was found that the low-level circulation of Tropical Depression Ten had completely detached and dissipated; only the remnant mid-level circulation moved on and merged with the second tropical wave. As a result, the criteria for keeping the same name and identity were not met. Tropical Depression Twelve later became Hurricane Katrina.\n\n\n== Impact ==\nBecause Tropical Depression Ten never approached land as a tropical cyclone, no tropical cyclone watches and warnings were issued for any land masses. No effects, damages, or fatalities were reported, and no ships reported tropical storm-force winds in association with the depression. The system did not attain tropical storm status; as such, it was not given a name by the National Hurricane Center. The storm partially contributed to the formation of Hurricane Katrina, which became a Category 5 hurricane on the Saffir-Simpson Hurricane Scale and made landfall in Louisiana, causing catastrophic damage. Katrina was the costliest hurricane, and one of the five deadliest, in the history of the United States.\n\n\n== See also ==\n\nMeteorological history of Hurricane Katrina\nList of storms in the 2005 Atlantic hurricane season\nTimeline of the 2005 Atlantic hurricane season\n\n\n== References ==\n\n\n== External links ==\n\nTropical Depression Ten Tropical Cyclone Report\nTropical Depression Ten advisory archive', 'ns': 0, 'pageid': 21196082, 'revisions': [{'revid': 572715399, 'parentid': 539367750}], 'title': 'Tropical Depression Ten (2005)'}}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'purpleberry')):
{'query': {'normalized': [{'to': 'Purpleberry', 'from': 'purpleberry'}], 'pages': {'-1': {'missing': '', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Purpleberry&action=edit', 'title': 'Purpleberry', 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Purpleberry'}}}},
(('limit', 1), ('list', 'search'), ('srinfo', 'suggestion'), ('srlimit', 1), ('srprop', ''), ('srsearch', 'Menlo Park, New Jersey')):
{'query-continue': {'search': {'sroffset': 1}}, 'query': {'search': [{'ns': 0, 'title': 'Edison, New Jersey'}]}, 'warnings': {'main': {'*': "Unrecognized parameter: 'limit'"}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'Menlo Park, New Jersey')):
{'query': {'redirects': [{'to': 'Edison, New Jersey', 'from': 'Menlo Park, New Jersey'}], 'pages': {'125414': {'lastrevid': 607768264, 'pageid': 125414, 'title': 'Edison, New Jersey', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Edison,_New_Jersey&action=edit', 'counter': '', 'length': 85175, 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'touched': '2014-05-14T17:10:49Z', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Edison,_New_Jersey'}}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'Communist Party')):
{'query': {'redirects': [{'to': 'Communist party', 'from': 'Communist Party'}], 'pages': {'37008': {'lastrevid': 608086859, 'pageid': 37008, 'title': 'Communist party', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Communist_party&action=edit', 'counter': '', 'length': 7868, 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'touched': '2014-05-26T01:19:01Z', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Communist_party'}}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'communist Party')):
{'query': {'redirects': [{'to': 'Communist party', 'from': 'Communist Party'}], 'normalized': [{'to': 'Communist Party', 'from': 'communist Party'}], 'pages': {'37008': {'lastrevid': 608086859, 'pageid': 37008, 'title': 'Communist party', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Communist_party&action=edit', 'counter': '', 'length': 7868, 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'touched': '2014-05-26T01:19:01Z', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Communist_party'}}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'Communist party')):
{'query': {'pages': {'37008': {'lastrevid': 608086859, 'pageid': 37008, 'title': 'Communist party', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Communist_party&action=edit', 'counter': '', 'length': 7868, 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'touched': '2014-05-26T01:19:01Z', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Communist_party'}}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'Edison, New Jersey')):
{'query': {'pages': {'125414': {'lastrevid': 607768264, 'pageid': 125414, 'title': 'Edison, New Jersey', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Edison,_New_Jersey&action=edit', 'counter': '', 'length': 85175, 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'touched': '2014-05-14T17:10:49Z', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Edison,_New_Jersey'}}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'Dodge Ram (disambiguation)')):
{'query': {'pages': {'18803364': {'lastrevid': 567152802, 'pageid': 18803364, 'title': 'Dodge Ram (disambiguation)', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Dodge_Ram_(disambiguation)&action=edit', 'counter': '', 'length': 702, 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'touched': '2013-08-08T15:12:27Z', 'ns': 0, 'pageprops': {'disambiguation': ''}, 'fullurl': 'http://en.wikipedia.org/wiki/Dodge_Ram_(disambiguation)'}}}},
(('prop', 'revisions'), ('rvlimit', 1), ('rvparse', ''), ('rvprop', 'content'), ('titles', 'Dodge Ram (disambiguation)')):
{'query-continue': {'revisions': {'rvcontinue': 556603298}}, 'query': {'pages': {'18803364': {'ns': 0, 'pageid': 18803364, 'revisions': [{'*': '<p><b><a href="/wiki/Dodge_Ram" title="Dodge Ram">Dodge Ram</a></b> is a collective nameplate for light trucks made by <a href="/wiki/Dodge" title="Dodge">Dodge</a>\n</p>\n<ul><li><a href="/wiki/Dodge_Ramcharger" title="Dodge Ramcharger">Dodge Ramcharger</a> - full-size SUV based on the Ram chassis (first vehicle to use the Ram name)\n</li><li><a href="/wiki/Dodge_Ram_Van" title="Dodge Ram Van">Dodge Ram Van</a> - full-size van\n</li><li><a href="/wiki/Dodge_Mini_Ram" title="Dodge Mini Ram" class="mw-redirect">Dodge Mini Ram</a> - cargo version of the Dodge Caravan\n<ul><li>See also:\n<ul><li><a href="/wiki/Dodge_Caravan_C/V" title="Dodge Caravan C/V" class="mw-redirect">Dodge Caravan C/V</a>\n</li><li><a href="/wiki/Ram_C/V" title="Ram C/V" class="mw-redirect">Ram C/V</a> (modern day equivalent)\n</li></ul>\n</li></ul>\n</li><li><a href="/wiki/Dodge_Ram_50" title="Dodge Ram 50" class="mw-redirect">Dodge Ram 50</a> - Dodge version of the Mitsubishi Mighty Max, predecessor to the Dakota\n</li></ul>\n<p>See also:\n</p>\n<ul><li><a href="/wiki/Dodge_D-Series" title="Dodge D-Series" class="mw-redirect">Dodge D-Series</a> - Ram\'s predecessor, page includes first Ram body style\n</li><li><a href="/wiki/Dodge_Rampage" title="Dodge Rampage">Dodge Rampage</a> - car-based pickup truck\n</li><li><a href="/wiki/Ram_Trucks" title="Ram Trucks">Ram (brand)</a> - truck brand based on the Ram pickup truck\n</li></ul>\n<table id="disambigbox" class="metadata plainlinks dmbox dmbox-disambig" style="" role="presentation">\n<tr>\n<td class="mbox-image" style="padding: 2px 0 2px 0.4em;"> <a href="/wiki/File:Disambig_gray.svg" class="image"><img alt="Disambiguation icon" src="//upload.wikimedia.org/wikipedia/en/thumb/5/5f/Disambig_gray.svg/30px-Disambig_gray.svg.png" width="30" height="23" srcset="//upload.wikimedia.org/wikipedia/en/thumb/5/5f/Disambig_gray.svg/45px-Disambig_gray.svg.png 1.5x, //upload.wikimedia.org/wikipedia/en/thumb/5/5f/Disambig_gray.svg/60px-Disambig_gray.svg.png 2x" /></a></td>\n<td class="mbox-text" style="padding: 0.25em 0.4em; font-style: italic;"> This <a href="/wiki/Help:Disambiguation" title="Help:Disambiguation">disambiguation</a> page lists articles associated with the same title. <br/> <small>If an <a class="external text" href="//en.wikipedia.org/w/index.php?title=Special:WhatLinksHere/Dodge_Ram_(disambiguation)&namespace=0">internal link</a> led you here, you may wish to change the link to point directly to the intended article.</small> </td>\n</tr>\n</table>\n'}], 'title': 'Dodge Ram (disambiguation)'}}}},
(('limit', 1), ('list', 'search'), ('srinfo', 'suggestion'), ('srlimit', 1), ('srprop', ''), ('srsearch', 'butteryfly')):
{'query-continue': {'search': {'sroffset': 1}}, 'query': {'searchinfo': {'suggestion': 'butterfly'}, 'search': [{'ns': 0, 'title': "Butterfly's Tongue"}]}, 'warnings': {'main': {'*': "Unrecognized parameter: 'limit'"}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'butterfly')):
{'query': {'normalized': [{'to': 'Butterfly', 'from': 'butterfly'}], 'pages': {'48338': {'lastrevid': 566847704, 'pageid': 48338, 'title': 'Butterfly', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Butterfly&action=edit', 'counter': '', 'length': 60572, 'contentmodel': 'wikitext', ' pagelanguage': 'en', 'touched': '2013-08-07T11:15:37Z', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Butterfly'}}}},
(('limit', 1), ('list', 'search'), ('srinfo', 'suggestion'), ('srlimit', 1), ('srprop', ''), ('srsearch', 'Celtuce')):
{'query-continue': {'search': {'sroffset': 1}}, 'query': {'search': [{'ns': 0, 'title': 'Celtuce'}]}, 'warnings': {'main': {'*': "Unrecognized parameter: 'limit'"}}},
(('limit', 1), ('list', 'search'), ('srinfo', 'suggestion'), ('srlimit', 1), ('srprop', ''), ('srsearch', 'Tropical Depression Ten (2005)')):
{'query-continue': {'search': {'sroffset': 1}}, 'query': {'search': [{'ns': 0, 'title': 'Tropical Depression Ten (2005)'}]}, 'warnings': {'main': {'*': "Unrecognized parameter: 'limit'"}}},
(('limit', 1), ('list', 'search'), ('srinfo', 'suggestion'), ('srlimit', 1), ('srprop', ''), ('srsearch', 'Great Wall of China')):
{'query-continue': {'search': {'sroffset': 1}}, 'query': {'search': [{'ns': 0, 'title': 'Great Wall of China'}]}, 'warnings': {'main': {'*': "Unrecognized parameter: 'limit'"}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'Celtuce')):
{'query': {'pages': {'1868108': {'lastrevid': 562756085, 'pageid': 1868108, 'title': 'Celtuce', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Celtuce&action=edit', 'counter': '', 'length': 1662, 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'touched': '2013-08-17T03:30:23Z', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Celtuce'}}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'Tropical Depression Ten (2005)')):
{'query': {'pages': {'21196082': {'lastrevid': 572715399, 'pageid': 21196082, 'title': 'Tropical Depression Ten (2005)', 'editurl': 'http://en.wikipedia.org/w/index.php?title=Tropical_Depression_Ten_(2005)&action=edit', 'counter': '', 'length': 8543, 'contentmodel': 'wikitext', 'pagelanguage': 'en', 'touched': '2013-09-18T13:45:33Z', 'ns': 0, 'fullurl': 'http://en.wikipedia.org/wiki/Tropical_Depression_Ten_(2005)'}}}},
(('inprop', 'url'), ('ppprop', 'disambiguation'), ('prop', 'info|pageprops'), ('redirects', ''), ('titles', 'Great Wall of China')):
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{'query-continue': {'revisions': {'rvcontinue': 547842204}}, 'query': {'pages': {'1868108': {'ns': 0, 'pageid': 1868108, 'revisions': [{'*': '<table class="metadata plainlinks ambox ambox-content ambox-Unreferenced" style="" role="presentation">\n<tr><td class="mbox-image"><div style="width: 52px;"><a href="/wiki/File:Question_book-new.svg" class="image"><img alt="Question book-new.svg" src="//upload.wikimedia.org/wikipedia/en/thumb/9/99/Question_book-new.svg/50px-Question_book-new.svg.png" width="50" height="39" srcset="//upload.wikimedia.org/wikipedia/en/thumb/9/99/Question_book-new.svg/75px-Question_book-new.svg.png 1.5x, //upload.wikimedia.org/wikipedia/en/thumb/9/99/Question_book-new.svg/100px-Question_book-new.svg.png 2x" /></a></div></td><td class="mbox-text" style=""><span class="mbox-text-span">This article <b>does not <a href="/wiki/Wikipedia:Citing_sources" title="Wikipedia:Citing sources">cite</a> any <a href="/wiki/Wikipedia:Verifiability" title="Wikipedia:Verifiability">references or sources</a></b>.<span class="hide-when-compact"> Please help <a class="external text" href="//en.wikipedia.org/w/index.php?title=Celtuce&action=edit">improve this article</a> by <a href="/wiki/Help:Introduction_to_referencing/1" title="Help:Introduction to referencing/1">adding citations to reliable sources</a>. Unsourced material may be challenged and <a href="/wiki/Wikipedia:Verifiability#Burden_of_evidence" title="Wikipedia:Verifiability">removed</a>.</span> <small><i>(December 2009)</i></small><span class="hide-when-compact"> </span></span></td></tr></table><div class="thumb tright"><div class="thumbinner" style="width:302px;"><a href="/wiki/File:Celtuce.jpg" class="image"><img alt="" src="//upload.wikimedia.org/wikipedia/commons/thumb/8/87/Celtuce.jpg/300px-Celtuce.jpg" width="300" height="135" class="thumbimage" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/8/87/Celtuce.jpg/450px-Celtuce.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/8/87/Celtuce.jpg/600px-Celtuce.jpg 2x" /></a> <div class="thumbcaption"><div class="magnify"><a href="/wiki/File:Celtuce.jpg" class="internal" title="Enlarge"><img src="//bits.wikimedia.org/static-1.22wmf12/skins/common/images/magnify-clip.png" width="15" height="11" alt="" /></a></div>Celtuce stems & heads</div></div></div>\n<p><b>Celtuce</b> (<i>Lactuca sativa</i> var. <i>asparagina</i>, <i>augustana</i>, or <i>angustata</i>), also called <b>stem lettuce</b>, <b>celery lettuce</b>, <b>asparagus lettuce</b>, or <b>Chinese lettuce</b>, IPA (UK,US) <span title="Representation in the International Phonetic Alphabet (IPA)" class="IPA">/\u02c8s\u025blt.\u0259s/</span>, is a cultivar of <a href="/wiki/Lettuce" title="Lettuce">lettuce</a> grown primarily for its thick <a href="/wiki/Plant_stem" title="Plant stem">stem</a>, used as a <a href="/wiki/Vegetable" title="Vegetable">vegetable</a>. It is especially popular in China, and is called <i><b>wosun</b></i> (<a href="/wiki/Chinese_language" title="Chinese language">Chinese</a>: <span lang="zh"><a href="//en.wiktionary.org/wiki/%E8%8E%B4" class="extiw" title="wiktionary:\u83b4">\u83b4</a><a href="//en.wiktionary.org/wiki/%E7%AC%8B" class="extiw" title="wiktionary:\u7b0b">\u7b0b</a></span>; <a href="/wiki/Pinyin" title="Pinyin">pinyin</a>: <em>w\u014ds\u016dn</em>) or <i><b>woju</b></i> (<a href="/wiki/Chinese_language" title="Chinese language">Chinese</a>: <span lang="zh"><a href="//en.wiktionary.org/wiki/%E8%8E%B4" class="extiw" title="wiktionary:\u83b4">\u83b4</a><a href="//en.wiktionary.org/wiki/%E8%8B%A3" class="extiw" title="wiktionary:\u82e3">\u82e3</a></span>; <a href="/wiki/Pinyin" title="Pinyin">pinyin</a>: <em>w\u014dj\xf9</em>) (although the latter name may also be used to mean lettuce in general).\n</p>\n<div class="thumb tright"><div class="thumbinner" style="width:302px;"><a href="/wiki/File:The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg" class="image"><img alt="" src="//upload.wikimedia.org/wikipedia/commons/thumb/d/dc/The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg/300px-The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg" width="300" height="241" class="thumbimage" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/d/dc/The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg/450px-The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/d/dc/The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg 2x" /></a> <div class="thumbcaption"><div class="magnify"><a href="/wiki/File:The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg" class="internal" title="Enlarge"><img src="//bits.wikimedia.org/static-1.22wmf12/skins/common/images/magnify-clip.png" width="15" height="11" alt="" /></a></div>Celtuce (foreground) for sale in <a href="/wiki/Lhasa" title="Lhasa">Lhasa</a></div></div></div>\n<table class="infobox" style="font-size: 88%; text-align: left; width: 22em; line-height: 1.5em">\n<caption style="font-size: 125%; font-weight: bold"> Celtuce, raw\n\n</caption>\n<tr>\n<th colspan="2" style="text-align: center"> Nutritional value per 100 g (3.5 oz)\n</th></tr>\n<tr style="background-color: #e0e0e0">\n<th> <a href="/wiki/Food_energy" title="Food energy">Energy</a>\n</th>\n<td> 75 kJ (18 kcal)\n</td></tr>\n<tr>\n<th> <a href="/wiki/Carbohydrate" title="Carbohydrate">Carbohydrates</a>\n</th>\n<td> 3.65 g\n</td></tr>\n\n\n\n<tr>\n<th> - <a href="/wiki/Dietary_fiber" title="Dietary fiber">Dietary fiber</a>\n</th>\n<td> 1.7 g\n</td></tr>\n\n<tr>\n<th> <a href="/wiki/Fat" title="Fat">Fat</a>\n</th>\n<td> 0.3 g\n</td></tr>\n\n\n\n\n\n\n<tr>\n<th> <a href="/wiki/Protein_(nutrient)" title="Protein (nutrient)">Protein</a>\n</th>\n<td> 0.85 g\n</td></tr>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<tr>\n<td> <a href="/wiki/Vitamin_A" title="Vitamin A">Vitamin A</a> equiv.\n</td>\n<td> 175 \u03bcg (22%)\n</td></tr>\n\n\n\n\n<tr>\n<td> <a href="/wiki/Thiamine" title="Thiamine">Thiamine (vit. B<sub>1</sub>)</a>\n</td>\n<td> 0.055 mg (5%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Riboflavin" title="Riboflavin">Riboflavin (vit. B<sub>2</sub>)</a>\n</td>\n<td> 0.07 mg (6%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Niacin" title="Niacin">Niacin (vit. B<sub>3</sub>)</a>\n</td>\n<td> 0.55 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Pantothenic_acid" title="Pantothenic acid">Pantothenic acid</a> (B<sub>5</sub>)\n</td>\n<td> 0.183 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Vitamin_B6" title="Vitamin B6">Vitamin B<sub>6</sub></a>\n</td>\n<td> 0.05 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Folate" title="Folate" class="mw-redirect">Folate</a> (vit. B<sub>9</sub>)\n</td>\n<td> 46 \u03bcg (12%)\n</td></tr>\n\n\n<tr>\n<td> <a href="/wiki/Vitamin_C" title="Vitamin C">Vitamin C</a>\n</td>\n<td> 19.5 mg (23%)\n</td></tr>\n\n\n\n\n\n<tr>\n<td> <a href="/wiki/Calcium#Nutrition" title="Calcium">Calcium</a>\n</td>\n<td> 39 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Iron#Biological_role" title="Iron">Iron</a>\n</td>\n<td> 0.55 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Magnesium_in_biology" title="Magnesium in biology">Magnesium</a>\n</td>\n<td> 28 mg (8%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Manganese#Biological_role" title="Manganese">Manganese</a>\n</td>\n<td> 0.688 mg (33%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Phosphorus#Biological_role" title="Phosphorus">Phosphorus</a>\n</td>\n<td> 39 mg (6%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Potassium#In_diet" title="Potassium">Potassium</a>\n</td>\n<td> 330 mg (7%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Sodium#Biological_role" title="Sodium">Sodium</a>\n</td>\n<td> 11 mg (1%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Zinc#Biological_role" title="Zinc">Zinc</a>\n</td>\n<td> 0.27 mg (3%)\n</td></tr>\n\n\n\n\n\n<tr style="background-color: #e0e0e0; font-size: 90%; text-align: center; padding: 4pt; line-height: 1.25em">\n<td colspan="2"> <a rel="nofollow" class="external text" href="http://ndb.nal.usda.gov/ndb/search/list?qlookup=11145&format=Full">Link to USDA Database entry</a><br/>Percentages are roughly approximated<br>using <a href="/wiki/Dietary_Reference_Intake" title="Dietary Reference Intake">US recommendations</a> for adults.<br/><small>Source: <a rel="nofollow" class="external text" href="http://ndb.nal.usda.gov/ndb/search/list">USDA Nutrient Database</a></small>\n</td></tr></table>\n<p>The stem is usually harvested at a length of around 15\u201320 cm and a diameter of around 3\u20134 cm. It is crisp, moist, and mildly flavored, and typically prepared by slicing and then <a href="/wiki/Stir_frying" title="Stir frying">stir frying</a> with more strongly flavored ingredients.\n</p><p><br />\n</p>\n<table class="metadata plainlinks stub" style="background: transparent;" role="presentation"><tr>\n<td><a href="/wiki/File:VegCorn.jpg" class="image"><img alt="Stub icon" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/79/VegCorn.jpg/40px-VegCorn.jpg" width="40" height="26" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/7/79/VegCorn.jpg/60px-VegCorn.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/7/79/VegCorn.jpg/80px-VegCorn.jpg 2x" /></a></td>\n<td><i>This <a href="/wiki/Vegetable" title="Vegetable">vegetable</a>-related article is a <a href="/wiki/Wikipedia:Stub" title="Wikipedia:Stub">stub</a>. You can help Wikipedia by <a class="external text" href="//en.wikipedia.org/w/index.php?title=Celtuce&action=edit">expanding it</a>.</i><div class="noprint plainlinks hlist navbar mini" style="position: absolute; right: 15px; display: none;"><ul><li class="nv-view"><a href="/wiki/Template:Vegetable-stub" title="Template:Vegetable-stub"><span title="View this template" style="">v</span></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Vegetable-stub" title="Template talk:Vegetable-stub"><span title="Discuss this template" style="">t</span></a></li><li class="nv-edit"><a class="external text" href="//en.wikipedia.org/w/index.php?title=Template:Vegetable-stub&action=edit"><span title="Edit this template" style="">e</span></a></li></ul></div></td>\n</tr></table>\n'}], 'title': 'Celtuce'}}}},
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"data": {
"celtuce.content": 'Celtuce (Lactuca sativa var. asparagina, augustana, or angustata), also called stem lettuce, celery lettuce, asparagus lettuce, or Chinese lettuce, IPA (UK,US) /\u02c8s\u025blt.\u0259s/, is a cultivar of lettuce grown primarily for its thick stem, used as a vegetable. It is especially popular in China, and is called wosun (Chinese: \u83b4\u7b0b; pinyin: w\u014ds\u016dn) or woju (Chinese: \u83b4\u82e3; pinyin: w\u014dj\xf9) (although the latter name may also be used to mean lettuce in general).\n\nThe stem is usually harvested at a length of around 15\u201320 cm and a diameter of around 3\u20134 cm. It is crisp, moist, and mildly flavored, and typically prepared by slicing and then stir frying with more strongly flavored ingredients.\n\nDown: Photos of the celtuce, chinese lettuce or "Wosun" taken in the province of Girona (Catalonia, Spain, Europe) in June 2013\nCeltuce Nutritional content',
"celtuce.parentid": 574302108,
"celtuce.revid": 575687826,
"celtuce.summary": "Celtuce (Lactuca sativa var. asparagina, augustana, or angustata), also called stem lettuce, celery lettuce, asparagus lettuce, or Chinese lettuce, IPA (UK,US) /\u02c8s\u025blt.\u0259s/, is a cultivar of lettuce grown primarily for its thick stem, used as a vegetable. It is especially popular in China, and is called wosun (Chinese: \u83b4\u7b0b; pinyin: w\u014ds\u016dn) or woju (Chinese: \u83b4\u82e3; pinyin: w\u014dj\xf9) (although the latter name may also be used to mean lettuce in general).\n\nThe stem is usually harvested at a length of around 15\u201320 cm and a diameter of around 3\u20134 cm. It is crisp, moist, and mildly flavored, and typically prepared by slicing and then stir frying with more strongly flavored ingredients.",
"celtuce.images": ['http://upload.wikimedia.org/wikipedia/commons/7/79/VegCorn.jpg', 'http://upload.wikimedia.org/wikipedia/commons/8/87/Celtuce.jpg', 'http://upload.wikimedia.org/wikipedia/commons/d/dc/The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg', 'http://upload.wikimedia.org/wikipedia/en/9/99/Question_book-new.svg'],
"celtuce.references": ['http://ndb.nal.usda.gov/ndb/search/list', 'http://ndb.nal.usda.gov/ndb/search/list?qlookup=11145&format=Full'],
"celtuce.links": ['Calcium', 'Carbohydrate', 'Chinese language', 'Dietary Reference Intake', 'Dietary fiber', 'Fat', 'Folate', 'Food energy', 'Iron', 'Lettuce', 'Lhasa', 'Magnesium in biology', 'Manganese', 'Niacin', 'Pantothenic acid', 'Phosphorus', 'Pinyin', 'Plant stem', 'Potassium', 'Protein (nutrient)', 'Riboflavin', 'Sodium', 'Stir frying', 'Thiamine', 'Vegetable', 'Vitamin A', 'Vitamin B6', 'Vitamin C', 'Zinc'],
"celtuce.categories": ['All articles lacking sources', 'All stub articles', 'Articles containing Chinese-language text', 'Articles lacking sources from December 2009', 'Stem vegetables', 'Vegetable stubs'],
"celtuce.html": '<table class="metadata plainlinks ambox ambox-content ambox-Unreferenced" style="" role="presentation">\n<tr><td class="mbox-image"><div style="width: 52px;"><a href="/wiki/File:Question_book-new.svg" class="image"><img alt="Question book-new.svg" src="//upload.wikimedia.org/wikipedia/en/thumb/9/99/Question_book-new.svg/50px-Question_book-new.svg.png" width="50" height="39" srcset="//upload.wikimedia.org/wikipedia/en/thumb/9/99/Question_book-new.svg/75px-Question_book-new.svg.png 1.5x, //upload.wikimedia.org/wikipedia/en/thumb/9/99/Question_book-new.svg/100px-Question_book-new.svg.png 2x" /></a></div></td><td class="mbox-text" style=""><span class="mbox-text-span">This article <b>does not <a href="/wiki/Wikipedia:Citing_sources" title="Wikipedia:Citing sources">cite</a> any <a href="/wiki/Wikipedia:Verifiability" title="Wikipedia:Verifiability">references or sources</a></b>.<span class="hide-when-compact"> Please help <a class="external text" href="//en.wikipedia.org/w/index.php?title=Celtuce&action=edit">improve this article</a> by <a href="/wiki/Help:Introduction_to_referencing/1" title="Help:Introduction to referencing/1">adding citations to reliable sources</a>. Unsourced material may be challenged and <a href="/wiki/Wikipedia:Verifiability#Burden_of_evidence" title="Wikipedia:Verifiability">removed</a>.</span> <small><i>(December 2009)</i></small><span class="hide-when-compact"> </span></span></td></tr></table><div class="thumb tright"><div class="thumbinner" style="width:302px;"><a href="/wiki/File:Celtuce.jpg" class="image"><img alt="" src="//upload.wikimedia.org/wikipedia/commons/thumb/8/87/Celtuce.jpg/300px-Celtuce.jpg" width="300" height="135" class="thumbimage" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/8/87/Celtuce.jpg/450px-Celtuce.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/8/87/Celtuce.jpg/600px-Celtuce.jpg 2x" /></a> <div class="thumbcaption"><div class="magnify"><a href="/wiki/File:Celtuce.jpg" class="internal" title="Enlarge"><img src="//bits.wikimedia.org/static-1.22wmf12/skins/common/images/magnify-clip.png" width="15" height="11" alt="" /></a></div>Celtuce stems & heads</div></div></div>\n<p><b>Celtuce</b> (<i>Lactuca sativa</i> var. <i>asparagina</i>, <i>augustana</i>, or <i>angustata</i>), also called <b>stem lettuce</b>, <b>celery lettuce</b>, <b>asparagus lettuce</b>, or <b>Chinese lettuce</b>, IPA (UK,US) <span title="Representation in the International Phonetic Alphabet (IPA)" class="IPA">/\u02c8s\u025blt.\u0259s/</span>, is a cultivar of <a href="/wiki/Lettuce" title="Lettuce">lettuce</a> grown primarily for its thick <a href="/wiki/Plant_stem" title="Plant stem">stem</a>, used as a <a href="/wiki/Vegetable" title="Vegetable">vegetable</a>. It is especially popular in China, and is called <i><b>wosun</b></i> (<a href="/wiki/Chinese_language" title="Chinese language">Chinese</a>: <span lang="zh"><a href="//en.wiktionary.org/wiki/%E8%8E%B4" class="extiw" title="wiktionary:\u83b4">\u83b4</a><a href="//en.wiktionary.org/wiki/%E7%AC%8B" class="extiw" title="wiktionary:\u7b0b">\u7b0b</a></span>; <a href="/wiki/Pinyin" title="Pinyin">pinyin</a>: <em>w\u014ds\u016dn</em>) or <i><b>woju</b></i> (<a href="/wiki/Chinese_language" title="Chinese language">Chinese</a>: <span lang="zh"><a href="//en.wiktionary.org/wiki/%E8%8E%B4" class="extiw" title="wiktionary:\u83b4">\u83b4</a><a href="//en.wiktionary.org/wiki/%E8%8B%A3" class="extiw" title="wiktionary:\u82e3">\u82e3</a></span>; <a href="/wiki/Pinyin" title="Pinyin">pinyin</a>: <em>w\u014dj\xf9</em>) (although the latter name may also be used to mean lettuce in general).\n</p>\n<div class="thumb tright"><div class="thumbinner" style="width:302px;"><a href="/wiki/File:The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg" class="image"><img alt="" src="//upload.wikimedia.org/wikipedia/commons/thumb/d/dc/The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg/300px-The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg" width="300" height="241" class="thumbimage" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/d/dc/The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg/450px-The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/d/dc/The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg 2x" /></a> <div class="thumbcaption"><div class="magnify"><a href="/wiki/File:The_farmer%27s_market_near_the_Potala_in_Lhasa.jpg" class="internal" title="Enlarge"><img src="//bits.wikimedia.org/static-1.22wmf12/skins/common/images/magnify-clip.png" width="15" height="11" alt="" /></a></div>Celtuce (foreground) for sale in <a href="/wiki/Lhasa" title="Lhasa">Lhasa</a></div></div></div>\n<table class="infobox" style="font-size: 88%; text-align: left; width: 22em; line-height: 1.5em">\n<caption style="font-size: 125%; font-weight: bold"> Celtuce, raw\n\n</caption>\n<tr>\n<th colspan="2" style="text-align: center"> Nutritional value per 100 g (3.5 oz)\n</th></tr>\n<tr style="background-color: #e0e0e0">\n<th> <a href="/wiki/Food_energy" title="Food energy">Energy</a>\n</th>\n<td> 75 kJ (18 kcal)\n</td></tr>\n<tr>\n<th> <a href="/wiki/Carbohydrate" title="Carbohydrate">Carbohydrates</a>\n</th>\n<td> 3.65 g\n</td></tr>\n\n\n\n<tr>\n<th> - <a href="/wiki/Dietary_fiber" title="Dietary fiber">Dietary fiber</a>\n</th>\n<td> 1.7 g\n</td></tr>\n\n<tr>\n<th> <a href="/wiki/Fat" title="Fat">Fat</a>\n</th>\n<td> 0.3 g\n</td></tr>\n\n\n\n\n\n\n<tr>\n<th> <a href="/wiki/Protein_(nutrient)" title="Protein (nutrient)">Protein</a>\n</th>\n<td> 0.85 g\n</td></tr>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<tr>\n<td> <a href="/wiki/Vitamin_A" title="Vitamin A">Vitamin A</a> equiv.\n</td>\n<td> 175 \u03bcg (22%)\n</td></tr>\n\n\n\n\n<tr>\n<td> <a href="/wiki/Thiamine" title="Thiamine">Thiamine (vit. B<sub>1</sub>)</a>\n</td>\n<td> 0.055 mg (5%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Riboflavin" title="Riboflavin">Riboflavin (vit. B<sub>2</sub>)</a>\n</td>\n<td> 0.07 mg (6%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Niacin" title="Niacin">Niacin (vit. B<sub>3</sub>)</a>\n</td>\n<td> 0.55 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Pantothenic_acid" title="Pantothenic acid">Pantothenic acid</a> (B<sub>5</sub>)\n</td>\n<td> 0.183 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Vitamin_B6" title="Vitamin B6">Vitamin B<sub>6</sub></a>\n</td>\n<td> 0.05 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Folate" title="Folate" class="mw-redirect">Folate</a> (vit. B<sub>9</sub>)\n</td>\n<td> 46 \u03bcg (12%)\n</td></tr>\n\n\n<tr>\n<td> <a href="/wiki/Vitamin_C" title="Vitamin C">Vitamin C</a>\n</td>\n<td> 19.5 mg (23%)\n</td></tr>\n\n\n\n\n\n<tr>\n<td> <a href="/wiki/Calcium#Nutrition" title="Calcium">Calcium</a>\n</td>\n<td> 39 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Iron#Biological_role" title="Iron">Iron</a>\n</td>\n<td> 0.55 mg (4%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Magnesium_in_biology" title="Magnesium in biology">Magnesium</a>\n</td>\n<td> 28 mg (8%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Manganese#Biological_role" title="Manganese">Manganese</a>\n</td>\n<td> 0.688 mg (33%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Phosphorus#Biological_role" title="Phosphorus">Phosphorus</a>\n</td>\n<td> 39 mg (6%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Potassium#In_diet" title="Potassium">Potassium</a>\n</td>\n<td> 330 mg (7%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Sodium#Biological_role" title="Sodium">Sodium</a>\n</td>\n<td> 11 mg (1%)\n</td></tr>\n<tr>\n<td> <a href="/wiki/Zinc#Biological_role" title="Zinc">Zinc</a>\n</td>\n<td> 0.27 mg (3%)\n</td></tr>\n\n\n\n\n\n<tr style="background-color: #e0e0e0; font-size: 90%; text-align: center; padding: 4pt; line-height: 1.25em">\n<td colspan="2"> <a rel="nofollow" class="external text" href="http://ndb.nal.usda.gov/ndb/search/list?qlookup=11145&format=Full">Link to USDA Database entry</a><br/>Percentages are roughly approximated<br>using <a href="/wiki/Dietary_Reference_Intake" title="Dietary Reference Intake">US recommendations</a> for adults.<br/><small>Source: <a rel="nofollow" class="external text" href="http://ndb.nal.usda.gov/ndb/search/list">USDA Nutrient Database</a></small>\n</td></tr></table>\n<p>The stem is usually harvested at a length of around 15\u201320 cm and a diameter of around 3\u20134 cm. It is crisp, moist, and mildly flavored, and typically prepared by slicing and then <a href="/wiki/Stir_frying" title="Stir frying">stir frying</a> with more strongly flavored ingredients.\n</p><p><br />\n</p>\n<table class="metadata plainlinks stub" style="background: transparent;" role="presentation"><tr>\n<td><a href="/wiki/File:VegCorn.jpg" class="image"><img alt="Stub icon" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/79/VegCorn.jpg/40px-VegCorn.jpg" width="40" height="26" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/7/79/VegCorn.jpg/60px-VegCorn.jpg 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/7/79/VegCorn.jpg/80px-VegCorn.jpg 2x" /></a></td>\n<td><i>This <a href="/wiki/Vegetable" title="Vegetable">vegetable</a>-related article is a <a href="/wiki/Wikipedia:Stub" title="Wikipedia:Stub">stub</a>. You can help Wikipedia by <a class="external text" href="//en.wikipedia.org/w/index.php?title=Celtuce&action=edit">expanding it</a>.</i><div class="noprint plainlinks hlist navbar mini" style="position: absolute; right: 15px; display: none;"><ul><li class="nv-view"><a href="/wiki/Template:Vegetable-stub" title="Template:Vegetable-stub"><span title="View this template" style="">v</span></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Vegetable-stub" title="Template talk:Vegetable-stub"><span title="Discuss this template" style="">t</span></a></li><li class="nv-edit"><a class="external text" href="//en.wikipedia.org/w/index.php?title=Template:Vegetable-stub&action=edit"><span title="Edit this template" style="">e</span></a></li></ul></div></td>\n</tr></table>\n',
"celtuce.languages[eo]": 'Trunko-laktuko',
"cyclone.content": 'Tropical Depression Ten was the tenth tropical cyclone of the record-breaking 2005 Atlantic hurricane season. It formed on August 13 from a tropical wave that emerged from the west coast of Africa on August 8. As a result of strong wind shear, the depression remained weak and did not strengthen beyond tropical depression status. The cyclone degenerated on August 14, although its remnants partially contributed to the formation of Tropical Depression Twelve, which eventually intensified into Hurricane Katrina. The cyclone had no effect on land, and did not directly result in any fatalities or damage.\n\n\n== Meteorological history ==\n\nOn August 8, a tropical wave emerged from the west coast of Africa and entered the Atlantic Ocean. Tracking towards the west, the depression began to exhibit signs of convective organization on August 11. The system continued to develop, and it is estimated that Tropical Depression Ten formed at 1200 UTC on August 13. At the time, it was located about 1,600 miles (2,600 km) east of Barbados. Upon its designation, the depression consisted of a large area of thunderstorm activity, with curved banding features and expanding outflow. However, the environmental conditions were predicted to quickly become unfavorable. The depression moved erratically and slowly towards the west, and wind shear inhibited any significant intensification. Late on August 13, it was "beginning to look like Irene-junior as it undergoes southwesterly mid-level shear beneath the otherwise favorable upper-level outflow pattern". The wind shear was expected to relent within 48 hours, prompting some forecast models to suggest the depression would eventually attain hurricane status.\nBy early August 14, the shear had substantially disrupted the storm, leaving the low-level center of circulation exposed from the area of convection, which was also deteriorating. After meandering, the storm began to move westward. Forecasters expected it to resume a northwestward track as high pressure to the south of Bermuda was forecasted to weaken and another high was predicted to form southwest of the Azores. By 1800 UTC on August 14, the strong shear had further weakened the storm, and it no longer met the criteria for a tropical cyclone. It degenerated into a remnant low, and the National Hurricane Center issued their final advisory on the cyclone. Moving westward, it occasionally produced bursts of convective activity, before dissipating on August 18.\nTropical Depression Twelve formed over the southeastern Bahamas at 2100 UTC on August 23, partially from the remains of Tropical Depression Ten. While the normal standards for numbering tropical depressions in the Atlantic stipulate that the initial designation be retained when a depression regenerates, satellite imagery indicated that a second tropical wave had combined with Tropical Depression Ten north of Puerto Rico to form a new, more complex weather system, which was then designated as Tropical Depression Twelve. In a re-analysis, it was found that the low-level circulation of Tropical Depression Ten had completely detached and dissipated; only the remnant mid-level circulation moved on and merged with the second tropical wave. As a result, the criteria for keeping the same name and identity were not met. Tropical Depression Twelve later became Hurricane Katrina.\n\n\n== Impact ==\nBecause Tropical Depression Ten never approached land as a tropical cyclone, no tropical cyclone watches and warnings were issued for any land masses. No effects, damages, or fatalities were reported, and no ships reported tropical storm-force winds in association with the depression. The system did not attain tropical storm status; as such, it was not given a name by the National Hurricane Center. The storm partially contributed to the formation of Hurricane Katrina, which became a Category 5 hurricane on the Saffir-Simpson Hurricane Scale and made landfall in Louisiana, causing catastrophic damage. Katrina was the costliest hurricane, and one of the five deadliest, in the history of the United States.\n\n\n== See also ==\n\nMeteorological history of Hurricane Katrina\nList of storms in the 2005 Atlantic hurricane season\nTimeline of the 2005 Atlantic hurricane season\n\n\n== References ==\n\n\n== External links ==\n\nTropical Depression Ten Tropical Cyclone Report\nTropical Depression Ten advisory archive',
"cyclone.revid": 572715399,
"cyclone.parentid": 539367750,
"cyclone.summary": 'Tropical Depression Ten was the tenth tropical cyclone of the record-breaking 2005 Atlantic hurricane season. It formed on August 13 from a tropical wave that emerged from the west coast of Africa on August 8. As a result of strong wind shear, the depression remained weak and did not strengthen beyond tropical depression status. The cyclone degenerated on August 14, although its remnants partially contributed to the formation of Tropical Depression Twelve, which eventually intensified into Hurricane Katrina. The cyclone had no effect on land, and did not directly result in any fatalities or damage.\n\n',
"cyclone.images": ['http://upload.wikimedia.org/wikipedia/commons/3/33/Tropical_Depression_Ten_%282005%29.ogg', 'http://upload.wikimedia.org/wikipedia/commons/3/37/People_icon.svg', 'http://upload.wikimedia.org/wikipedia/commons/4/47/Sound-icon.svg', 'http://upload.wikimedia.org/wikipedia/commons/4/4a/TD_10_August_13%2C_2005.jpg', 'http://upload.wikimedia.org/wikipedia/commons/7/7d/Tropical_Depression_10_%282005%29.png', 'http://upload.wikimedia.org/wikipedia/commons/8/89/Cyclone_Catarina_from_the_ISS_on_March_26_2004.JPG', 'http://upload.wikimedia.org/wikipedia/commons/8/89/Symbol_book_class2.svg', 'http://upload.wikimedia.org/wikipedia/commons/a/a5/10-L_2005_track.png', 'http://upload.wikimedia.org/wikipedia/commons/e/e0/2005_Atlantic_hurricane_season_summary_map.png', 'http://upload.wikimedia.org/wikipedia/en/4/48/Folder_Hexagonal_Icon.svg', 'http://upload.wikimedia.org/wikipedia/en/4/4a/Commons-logo.svg', 'http://upload.wikimedia.org/wikipedia/en/e/e7/Cscr-featured.svg', 'http://upload.wikimedia.org/wikipedia/en/f/fd/Portal-puzzle.svg'],
"cyclone.references": ['http://books.google.com/?id=-a8DRl1HuwoC&q=%22tropical+depression+ten%22+2005&dq=%22tropical+depression+ten%22+2005', 'http://facstaff.unca.edu/chennon/research/documents/erb_ncur2006_preprint.pdf', 'http://www.nhc.noaa.gov/archive/2005/TEN.shtml?', 'http://www.nhc.noaa.gov/archive/2005/dis/al102005.discus.001.shtml?', 'http://www.nhc.noaa.gov/archive/2005/dis/al102005.discus.002.shtml?', 'http://www.nhc.noaa.gov/archive/2005/dis/al102005.discus.003.shtml?', 'http://www.nhc.noaa.gov/archive/2005/dis/al122005.discus.001.shtml', 'http://www.nhc.noaa.gov/pdf/TCR-AL102005_Ten.pdf', 'http://www.nhc.noaa.gov/pdf/TCR-AL122005_Katrina.pdf', 'http://www.wptv.com/content/chopper5/story/Capt-Julie-Reports-On-Hurricane-Katrina/q__v8S2TZES2GiccRTQ2bw.cspx'],
"cyclone.links": ['2005 Atlantic hurricane season', '2005 Azores subtropical storm', 'Atlantic Ocean', 'Atmospheric circulation', 'Atmospheric convection', 'Azores', 'Bahamas', 'Bar (unit)', 'Barbados', 'Bermuda', 'High pressure area', 'Hurricane Beta', 'Hurricane Cindy (2005)', 'Hurricane Dennis', 'Hurricane Emily (2005)', 'Hurricane Epsilon', 'Hurricane Irene (2005)', 'Hurricane Katrina', 'Hurricane Maria (2005)', 'Hurricane Nate (2005)', 'Hurricane Ophelia (2005)', 'Hurricane Philippe (2005)', 'Hurricane Rita', 'Hurricane Stan', 'Hurricane Vince (2005)', 'Hurricane Wilma', 'Inch of mercury', 'International Standard Book Number', 'List of Category 5 Atlantic hurricanes', 'List of storms in the 2005 Atlantic hurricane season', 'Louisiana', 'Meteorological history of Hurricane Katrina', 'National Hurricane Center', 'North Atlantic tropical cyclone', 'Outflow (meteorology)', 'Pascal (unit)', 'Puerto Rico', 'Saffir-Simpson Hurricane Scale', 'Saffir\u2013Simpson hurricane wind scale', 'Timeline of the 2005 Atlantic hurricane season', 'Tropical Storm Alpha (2005)', 'Tropical Storm Arlene (2005)', 'Tropical Storm Bret (2005)', 'Tropical Storm Delta (2005)', 'Tropical Storm Franklin (2005)', 'Tropical Storm Gamma', 'Tropical Storm Gert (2005)', 'Tropical Storm Jose (2005)', 'Tropical Storm Tammy (2005)', 'Tropical Storm Zeta', 'Tropical cyclone', 'Tropical cyclone scales', 'Tropical cyclone watches and warnings', 'Tropical wave', 'Wind shear'],
"cyclone.categories": ['2005 Atlantic hurricane season', 'Articles with hAudio microformats', 'Atlantic tropical depressions', 'CS1 errors: dates', 'Commons category with local link same as on Wikidata', 'Featured articles', 'Hurricane Katrina', 'Spoken articles'],
"cyclone.sections": ['External links', 'Impact', 'Meteorological history', 'References', 'See also'],
"cyclone.section.impact": 'Because Tropical Depression Ten never approached land as a tropical cyclone, no tropical cyclone watches and warnings were issued for any land masses. No effects, damages, or fatalities were reported, and no ships reported tropical storm-force winds in association with the depression. The system did not attain tropical storm status; as such, it was not given a name by the National Hurricane Center. The storm partially contributed to the formation of Hurricane Katrina, which became a Category 5 hurricane on the Saffir-Simpson Hurricane Scale and made landfall in Louisiana, causing catastrophic damage. Katrina was the costliest hurricane, and one of the five deadliest, in the history of the United States.',
"barack.search": ['Barack Obama', 'Barack Obama, Sr.', 'Presidency of Barack Obama', 'Barack Obama presidential campaign, 2008', 'List of federal judges appointed by Barack Obama', 'Barack Obama in comics', 'Political positions of Barack Obama', 'Barack Obama on social media', 'List of Batman: The Brave and the Bold characters', 'Family of Barack Obama'],
"porsche.search": ['Porsche', 'Porsche in motorsport', 'Porsche 911 GT3'],
"great_wall_of_china.coordinates.lat": '40.677',
"great_wall_of_china.coordinates.lon": '117.232',
"great_wall_of_china.languages[de]": 'Chinesische Mauer',
"great_wall_of_china.geo_seach": ['Great Wall of China'],
"great_wall_of_china.geo_seach_with_radius": ['Great Wall of China', 'Jinshanling'],
"great_wall_of_china.geo_seach_with_existing_article_name": ['Great Wall of China'],
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}
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0
| 4
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f486ece8c27a719486377e6a4c815fe6b414305a
| 7,780
|
py
|
Python
|
xjpath/test_xjpath.py
|
vburenin/xjpath
|
98a19fd6e6d0bcdc5ecbd3651ffa8915f06d7d44
|
[
"MIT"
] | 5
|
2015-03-30T18:23:46.000Z
|
2021-02-09T05:31:13.000Z
|
xjpath/test_xjpath.py
|
vburenin/xjpath
|
98a19fd6e6d0bcdc5ecbd3651ffa8915f06d7d44
|
[
"MIT"
] | null | null | null |
xjpath/test_xjpath.py
|
vburenin/xjpath
|
98a19fd6e6d0bcdc5ecbd3651ffa8915f06d7d44
|
[
"MIT"
] | 2
|
2017-07-24T21:15:01.000Z
|
2017-11-08T19:55:37.000Z
|
import unittest
import xjpath
class TestXJPath(unittest.TestCase):
def test_get_all_dict_values_from_top(self):
d = {'t1': 1, 't2': 2, 't3': 3, 't4': 4}
v = xjpath.strict_path_lookup(d, '*')
self.assertTrue(isinstance(v, tuple))
self.assertEqual([1, 2, 3, 4], sorted(v))
def test_get_all_dict_values_from_level_down(self):
d = {'l1': {'t1': 1, 't2': 2, 't3': 3, 't4': 4}}
v = xjpath.strict_path_lookup(d, 'l1.*')
self.assertTrue(isinstance(v, tuple))
self.assertEqual([1, 2, 3, 4], sorted(v))
def test_get_all_list_values_copy(self):
d = {'l1': [1, 2, 3, 4]}
v = xjpath.strict_path_lookup(d, 'l1.*')
self.assertEqual((1, 2, 3, 4), v)
def test_get_all_same_attribute_values_if_list(self):
d = {'l1': [{'s': 5, 'r': ''}, {'s': 6, 'r': ''}, {'s': 7}]}
v = xjpath.strict_path_lookup(d, 'l1.*.s')
self.assertEqual((5, 6, 7), v)
def test_get_all_same_attribute_values_if_dict(self):
d = {'l1': {'t0': {'s': 5, 'r': ''},
't1': {'s': 6, 'r': ''},
't2': {'s': 7}}}
v = xjpath.strict_path_lookup(d, 'l1.*.s')
self.assertEqual([5, 6, 7], sorted(v))
def test_get_last_array_element(self):
d = [1, 2, 3]
v = xjpath.strict_path_lookup(d, '@last')
self.assertEqual(3, v)
def test_get_first_array_element(self):
d = [1, 2, 3]
v = xjpath.strict_path_lookup(d, '@first')
self.assertEqual(1, v)
def test_get_second_array_element(self):
d = [1, 2, 3]
v = xjpath.strict_path_lookup(d, '@1')
self.assertEqual(2, v)
def test_get_element_from_dict_that_is_second_element_in_array(self):
d = ['1', {'element': 999}, '3']
v = xjpath.strict_path_lookup(d, '@1.element')
self.assertEqual(999, v)
def test_get_element_from_wrong_index_with_exception(self):
d = [1, 2, 3]
with self.assertRaises(xjpath.XJPathError):
xjpath.strict_path_lookup(d, '@10')
def test_get_element_from_wrong_index_with_no_exception(self):
d = [1, 2, 3]
value, exists = xjpath.path_lookup(d, '@10')
self.assertIsNone(value)
self.assertFalse(exists)
def test_get_element_from_dict_using_array_index(self):
d = {'1': '1', '2': '2'}
value, exists = xjpath.path_lookup(d, '@1')
self.assertIsNone(value)
self.assertFalse(exists)
def test_test_no_values(self):
with self.assertRaises(xjpath.XJPathError):
xjpath.strict_path_lookup({}, 'path')
def test_test_no_values_deep(self):
with self.assertRaises(xjpath.XJPathError):
xjpath.strict_path_lookup({'path': {'test': [1]}}, 'path.test.num')
def test_with_one_escape(self):
value, exists = xjpath.path_lookup({'v.v': {'t': 31}}, 'v\.v.t')
self.assertEqual(31, value)
self.assertTrue(exists)
def test_with_two_escape(self):
value, exists = xjpath.path_lookup({'v.v': {'t.t': 31}}, 'v\.v.t\.t')
self.assertEqual(31, value)
self.assertTrue(exists)
def test_with_last_escape(self):
value, exists = xjpath.path_lookup({'v': {'t.t': 31}}, 'v.t\.t')
self.assertEqual(31, value)
self.assertTrue(exists)
def test_with_sobachka_escape(self):
"""Sobachka == '@'"""
value, exists = xjpath.path_lookup({'v': {'@id': 31}}, 'v.\@id')
self.assertEqual(31, value)
self.assertTrue(exists)
def test_with_sobachka_double_escape(self):
"""Sobachka == '@'"""
value, exists = xjpath.path_lookup({'v': {'\@id': 31}}, 'v.\\\\@id')
self.assertEqual(31, value)
self.assertTrue(exists)
def test_with_sobachka_triple_escape(self):
"""Sobachka == '@'"""
value, exists = xjpath.path_lookup({'v': {'\\\\@id': 31}},
'v.\\\\\\\\@id')
self.assertEqual(31, value)
self.assertTrue(exists)
def test_with_star_escape(self):
value, exists = xjpath.path_lookup({'v': {'*id': 31}}, 'v.\*id')
self.assertEqual(31, value)
self.assertTrue(exists)
def test_escapes_non_special(self):
value, exists = xjpath.path_lookup({'v': {'\\': 31}}, r'v.\\')
self.assertEqual(31, value)
self.assertTrue(exists)
def test_validate_path_ok(self):
xjpath.validate_path('x.f.g.@first')
xjpath.validate_path('x.f.g.@last')
xjpath.validate_path('x.*.*.@last')
xjpath.validate_path('x.@first.\*.@last')
def test_validate_path_fail(self):
with self.assertRaises(xjpath.XJPathError):
xjpath.validate_path('x.@wedwe')
with self.assertRaises(xjpath.XJPathError):
xjpath.validate_path(10)
def test_auto_dict_creations(self):
a = {}
xjpath.path_lookup(a, 'a{}.b{}.c{}', True)
self.assertEqual({'a': {'b': {'c': {}}}}, a)
def test_auto_dict_and_last_array_creations(self):
a = {}
xjpath.path_lookup(a, 'a{}.b{}.c[]', True)
self.assertEqual({'a': {'b': {'c': []}}}, a)
def test_path_create_type_mismatch1(self):
a = {'a': 1}
with self.assertRaises(xjpath.XJPathError):
xjpath.path_lookup(a, 'a[]')
def test_path_create_type_mismatch2(self):
a = {'a': []}
with self.assertRaises(xjpath.XJPathError):
xjpath.path_lookup(a, 'a{}')
def test_path_create_type_mismatch3(self):
a = [{}]
with self.assertRaises(xjpath.XJPathError):
xjpath.path_lookup(a, '@first[]')
def test_path_create_type_mismatch4(self):
a = [{}]
with self.assertRaises(xjpath.XJPathError):
xjpath.path_lookup(a, '@-1[]')
def test_path_lookup_dict_as_array(self):
a = []
with self.assertRaises(xjpath.XJPathError):
xjpath.path_lookup(a, 'a{}')
def test_path_lookup_array_as_dict(self):
a = {}
with self.assertRaises(xjpath.XJPathError):
xjpath.path_lookup(a, '@first[]')
def test_type_escape_for_str(self):
self.assertEqual(('v', True),
xjpath.path_lookup({'a$': 'v'}, 'a\$', True))
self.assertEqual(('', True),
xjpath.path_lookup({'a$': 'a'}, 'a$', True))
def test_type_escape_for_number(self):
self.assertEqual((123, True),
xjpath.path_lookup({'a#': 123}, 'a\#', True))
self.assertEqual((0, True),
xjpath.path_lookup({'a$': 123}, 'a#', True))
def test_type_escape_for_float(self):
self.assertEqual((.1, True),
xjpath.path_lookup({'a%': .1}, 'a\%', True))
self.assertEqual((.0, True),
xjpath.path_lookup({'a%': 123}, 'a%', True))
def test_type_escape_for_dict(self):
self.assertEqual(({"1": 1}, True),
xjpath.path_lookup({'a{}': {"1": 1}}, 'a\{}', True))
self.assertEqual(({}, True),
xjpath.path_lookup({'a{}': {"1": 1}}, 'a{}', True))
def test_type_escape_for_list(self):
self.assertEqual(([1], True),
xjpath.path_lookup({'a[]': [1]}, 'a\[]', True))
self.assertEqual(([], True),
xjpath.path_lookup({'a[]': [1]}, 'a[]', True))
def test_XJPath(self):
d = {'t1': 1, 't2': 2, 't3': 3, 't4': 4}
x = xjpath.XJPath(d)
self.assertEqual(1, x['t1'])
self.assertEqual(None, x.get('t1.1'))
if __name__ == '__main__':
import logging
logging.basicConfig(level=logging.CRITICAL)
unittest.main()
| 35.363636
| 79
| 0.558098
| 996
| 7,780
| 4.121486
| 0.11747
| 0.102314
| 0.109135
| 0.074543
| 0.801218
| 0.759318
| 0.709135
| 0.679172
| 0.586114
| 0.517905
| 0
| 0.029663
| 0.263368
| 7,780
| 219
| 80
| 35.525114
| 0.686617
| 0.006041
| 0
| 0.319767
| 0
| 0
| 0.055332
| 0
| 0
| 0
| 0
| 0
| 0.325581
| 1
| 0.22093
| false
| 0
| 0.017442
| 0
| 0.244186
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
be3613ac69adae5fb4074745e5fda79f72fc7e9b
| 122
|
py
|
Python
|
wildebeest/constants.py
|
gsganden/wildebeest
|
241c58fcea8c5848a276c6100a8f9c283fc2daa1
|
[
"BSD-3-Clause"
] | 83
|
2020-07-31T00:33:17.000Z
|
2022-02-12T03:06:34.000Z
|
wildebeest/constants.py
|
gsganden/wildebeest
|
241c58fcea8c5848a276c6100a8f9c283fc2daa1
|
[
"BSD-3-Clause"
] | 30
|
2020-07-28T15:36:29.000Z
|
2022-03-23T21:13:32.000Z
|
wildebeest/constants.py
|
gsganden/wildebeest
|
241c58fcea8c5848a276c6100a8f9c283fc2daa1
|
[
"BSD-3-Clause"
] | 6
|
2020-08-08T14:01:14.000Z
|
2022-03-05T00:19:18.000Z
|
"""Constants"""
from pathlib import Path
from typing import Union
PathOrStr = Union[Path, str]
"""Path or string type"""
| 17.428571
| 28
| 0.721311
| 17
| 122
| 5.176471
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147541
| 122
| 6
| 29
| 20.333333
| 0.846154
| 0.07377
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
be49b067b2c660d165642ae8cf4fe853e483f342
| 286
|
bzl
|
Python
|
util/import/deps.bzl
|
ttiurani/rules_rust
|
2fa92e5a139c7cb64d606718273e295ce756f0f3
|
[
"Apache-2.0"
] | 1
|
2017-06-12T02:10:48.000Z
|
2017-06-12T02:10:48.000Z
|
util/import/deps.bzl
|
ttiurani/rules_rust
|
2fa92e5a139c7cb64d606718273e295ce756f0f3
|
[
"Apache-2.0"
] | null | null | null |
util/import/deps.bzl
|
ttiurani/rules_rust
|
2fa92e5a139c7cb64d606718273e295ce756f0f3
|
[
"Apache-2.0"
] | null | null | null |
"""
The dependencies for running the gen_rust_project binary.
"""
load("//util/import/raze:crates.bzl", "rules_rust_util_import_fetch_remote_crates")
def import_deps():
rules_rust_util_import_fetch_remote_crates()
# For legacy support
gen_rust_project_dependencies = import_deps
| 23.833333
| 83
| 0.807692
| 41
| 286
| 5.170732
| 0.512195
| 0.141509
| 0.132075
| 0.179245
| 0.339623
| 0.339623
| 0.339623
| 0
| 0
| 0
| 0
| 0
| 0.097902
| 286
| 11
| 84
| 26
| 0.821705
| 0.269231
| 0
| 0
| 0
| 0
| 0.353234
| 0.353234
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 1
| 0
| 1.25
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
be54595d0fb82119ef1848eec77b4d2a8a4370a9
| 187
|
py
|
Python
|
mayan/apps/document_states/dependencies.py
|
Syunkolee9891/Mayan-EDMS
|
3759a9503a264a180b74cc8518388f15ca66ac1a
|
[
"Apache-2.0"
] | 1
|
2021-06-17T18:24:25.000Z
|
2021-06-17T18:24:25.000Z
|
mayan/apps/document_states/dependencies.py
|
Syunkolee9891/Mayan-EDMS
|
3759a9503a264a180b74cc8518388f15ca66ac1a
|
[
"Apache-2.0"
] | 7
|
2020-06-06T00:01:04.000Z
|
2022-01-13T01:47:17.000Z
|
mayan/apps/document_states/dependencies.py
|
Syunkolee9891/Mayan-EDMS
|
3759a9503a264a180b74cc8518388f15ca66ac1a
|
[
"Apache-2.0"
] | 1
|
2020-07-29T21:03:27.000Z
|
2020-07-29T21:03:27.000Z
|
from __future__ import unicode_literals
from mayan.apps.dependencies.classes import PythonDependency
PythonDependency(
module=__name__, name='graphviz', version_string='==0.10.1'
)
| 23.375
| 63
| 0.802139
| 22
| 187
| 6.363636
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.02381
| 0.101604
| 187
| 7
| 64
| 26.714286
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0.085562
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
be8094c308092ca54b34d873f8731b397d159e7e
| 201
|
py
|
Python
|
territory/form.py
|
ChanTerelLy/partnerweb3
|
4f37f032242cbc67d57b7161ecb5960d9cfde76d
|
[
"MIT"
] | null | null | null |
territory/form.py
|
ChanTerelLy/partnerweb3
|
4f37f032242cbc67d57b7161ecb5960d9cfde76d
|
[
"MIT"
] | null | null | null |
territory/form.py
|
ChanTerelLy/partnerweb3
|
4f37f032242cbc67d57b7161ecb5960d9cfde76d
|
[
"MIT"
] | null | null | null |
from django import forms
class AddressToDoForm(forms.Form):
promouter = forms.CharField()
address = forms.CharField()
entrance_img = forms.ImageField()
mailbox_img = forms.ImageField()
| 28.714286
| 37
| 0.731343
| 22
| 201
| 6.590909
| 0.636364
| 0.193103
| 0.248276
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169154
| 201
| 7
| 38
| 28.714286
| 0.868263
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
be9532a6fe22024ba5dc84c0ea89f4859ec78cf8
| 109
|
py
|
Python
|
setup.py
|
davidpirogov/sopel-contextualreminders
|
6f8da67d2eff75e8498bd23d86536a155d7da577
|
[
"MIT"
] | null | null | null |
setup.py
|
davidpirogov/sopel-contextualreminders
|
6f8da67d2eff75e8498bd23d86536a155d7da577
|
[
"MIT"
] | null | null | null |
setup.py
|
davidpirogov/sopel-contextualreminders
|
6f8da67d2eff75e8498bd23d86536a155d7da577
|
[
"MIT"
] | null | null | null |
"""Setup file for sopel-remind. See ``setup.cfg`` for setup config."""
from setuptools import setup
setup()
| 21.8
| 70
| 0.715596
| 16
| 109
| 4.875
| 0.6875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137615
| 109
| 4
| 71
| 27.25
| 0.829787
| 0.587156
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
be987ad72033258711643c5641bc8682bd4f91e3
| 110
|
py
|
Python
|
individual_reports/apps.py
|
sh4rpy/report_processor
|
4351abbcedb4cad578de556d1eb9e74709aac516
|
[
"BSD-3-Clause"
] | null | null | null |
individual_reports/apps.py
|
sh4rpy/report_processor
|
4351abbcedb4cad578de556d1eb9e74709aac516
|
[
"BSD-3-Clause"
] | null | null | null |
individual_reports/apps.py
|
sh4rpy/report_processor
|
4351abbcedb4cad578de556d1eb9e74709aac516
|
[
"BSD-3-Clause"
] | null | null | null |
from django.apps import AppConfig
class IndividualReportsConfig(AppConfig):
name = 'individual_reports'
| 18.333333
| 41
| 0.8
| 11
| 110
| 7.909091
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 110
| 5
| 42
| 22
| 0.915789
| 0
| 0
| 0
| 0
| 0
| 0.163636
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
fe2a151dd559423112c7ebdf6caa7a9c59c24feb
| 151
|
py
|
Python
|
Exercicios-mundo-1/desafio016.py
|
talitadeoa/CEV-Exercicios-Python
|
11e8ad6c6b758c5b5fdf5050a3e97f98c308ea7e
|
[
"MIT"
] | null | null | null |
Exercicios-mundo-1/desafio016.py
|
talitadeoa/CEV-Exercicios-Python
|
11e8ad6c6b758c5b5fdf5050a3e97f98c308ea7e
|
[
"MIT"
] | null | null | null |
Exercicios-mundo-1/desafio016.py
|
talitadeoa/CEV-Exercicios-Python
|
11e8ad6c6b758c5b5fdf5050a3e97f98c308ea7e
|
[
"MIT"
] | null | null | null |
#Um programa que lê um número e fala sua porção inteira
n = float(input('Digite um número... '))
print('A porção inteira de {} é {}'.format(n,int(n))
| 30.2
| 55
| 0.675497
| 27
| 151
| 3.777778
| 0.740741
| 0.156863
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165563
| 151
| 5
| 56
| 30.2
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0.484536
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
fe3e4acfed8db6ff10762ff2f27c2fa058c852a9
| 1,254
|
py
|
Python
|
datalad/tests/test_strings.py
|
AKSoo/datalad
|
dbc34478980c808a86b5531316c986abac953e37
|
[
"MIT"
] | null | null | null |
datalad/tests/test_strings.py
|
AKSoo/datalad
|
dbc34478980c808a86b5531316c986abac953e37
|
[
"MIT"
] | 1
|
2020-12-01T20:13:51.000Z
|
2020-12-01T20:13:51.000Z
|
datalad/tests/test_strings.py
|
jwodder/datalad
|
2b92a764fdc64b750dad68eb51c817218a1ec153
|
[
"MIT"
] | null | null | null |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
from .utils import *
from ..support.strings import apply_replacement_rules
def test_apply_replacement_rules():
# replacement rule should be at least 3 char long
assert_raises(ValueError, apply_replacement_rules, '/', 'some')
assert_raises(ValueError, apply_replacement_rules, ['/a/b', '/'], 'some')
# and pattern should have the separator only twice
assert_raises(ValueError, apply_replacement_rules, '/ab', 'some')
assert_raises(ValueError, apply_replacement_rules, '/a/b/', 'some')
eq_(apply_replacement_rules('/a/b', 'abab'), 'bbbb')
eq_(apply_replacement_rules('/a/', 'abab'), 'bb')
eq_(apply_replacement_rules(['/a/b'], 'abab'), 'bbbb')
eq_(apply_replacement_rules(['/a/b', ',b,ab'], 'abab'), 'abababab')
# with regular expression groups
eq_(apply_replacement_rules(r'/st(.*)n(.*)$/\1-\2', 'string'), 'ri-g')
| 43.241379
| 87
| 0.597289
| 152
| 1,254
| 4.717105
| 0.506579
| 0.245467
| 0.322176
| 0.1841
| 0.428173
| 0.428173
| 0.306834
| 0.306834
| 0.306834
| 0.306834
| 0
| 0.007619
| 0.162679
| 1,254
| 28
| 88
| 44.785714
| 0.675238
| 0.304625
| 0
| 0
| 0
| 0
| 0.151882
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.083333
| true
| 0
| 0.166667
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fe47ef556b7b9fc47c7d8598f125619a87e4e1ea
| 555
|
py
|
Python
|
training/src/utils/landmark_point.py
|
Dhruv-Mohan/PoseEstimationForMobile
|
5c17272be0336398d244c567eba80a2795135dc6
|
[
"Apache-2.0"
] | null | null | null |
training/src/utils/landmark_point.py
|
Dhruv-Mohan/PoseEstimationForMobile
|
5c17272be0336398d244c567eba80a2795135dc6
|
[
"Apache-2.0"
] | null | null | null |
training/src/utils/landmark_point.py
|
Dhruv-Mohan/PoseEstimationForMobile
|
5c17272be0336398d244c567eba80a2795135dc6
|
[
"Apache-2.0"
] | null | null | null |
"""
Class to handle landmarkpoints
template pt {"y":392,"x":311,"point":0,"state":"visible"}
"""
class l_point(object):
def __init__(self, **kwargs):
self.__x__ = kwargs['x']
self.__y__ = kwargs['y']
'''
self.__indx__ = kwargs['point']
if kwargs['state'] in 'visible':
self.__vis__ = True
else:
self.__vis__ = False
'''
def get_pt(self):
return self.__x__, self.__y__
def index(self):
return self.__indx__
def state(self):
pass
| 19.821429
| 58
| 0.535135
| 65
| 555
| 3.984615
| 0.476923
| 0.03861
| 0.046332
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018421
| 0.315315
| 555
| 27
| 59
| 20.555556
| 0.663158
| 0.16036
| 0
| 0
| 0
| 0
| 0.007092
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.1
| 0
| 0.2
| 0.7
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
fe5e6db9a7e2c26380916ce0523438dd69fe4a79
| 33
|
py
|
Python
|
hello.py
|
minna001/Learning_Python
|
f91cd9f719fdb3fdd5f2f2262532dad2a37a5518
|
[
"MIT"
] | null | null | null |
hello.py
|
minna001/Learning_Python
|
f91cd9f719fdb3fdd5f2f2262532dad2a37a5518
|
[
"MIT"
] | null | null | null |
hello.py
|
minna001/Learning_Python
|
f91cd9f719fdb3fdd5f2f2262532dad2a37a5518
|
[
"MIT"
] | null | null | null |
msg = "Hello World"
print(msg)
| 11
| 20
| 0.636364
| 5
| 33
| 4.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212121
| 33
| 2
| 21
| 16.5
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0.354839
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
fe6078aac438553c2dd85480117e0f5bedaaf600
| 128
|
py
|
Python
|
yasc/scorecard/__init__.py
|
Keris/yasc
|
eb55000e730fb2e60515a39dac82b851239a2c57
|
[
"MIT"
] | 4
|
2020-05-21T06:35:48.000Z
|
2021-04-12T10:49:55.000Z
|
yasc/scorecard/__init__.py
|
Keris/yasc
|
eb55000e730fb2e60515a39dac82b851239a2c57
|
[
"MIT"
] | null | null | null |
yasc/scorecard/__init__.py
|
Keris/yasc
|
eb55000e730fb2e60515a39dac82b851239a2c57
|
[
"MIT"
] | null | null | null |
# Author: Liqiang Du <keris.du@gmail.com>
from ._bin import mono_bin
from .util import check_target, rocplot, ksplot, woebinplot
| 42.666667
| 59
| 0.789063
| 20
| 128
| 4.9
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117188
| 128
| 3
| 59
| 42.666667
| 0.867257
| 0.304688
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fe89680464130f9e62feb8c99ccda56eb689725c
| 246
|
py
|
Python
|
meta_learning/backend/tensorflow/model/__init__.py
|
fmeier/online-meta-learning
|
48d36de16d232cd3fc00c460e6419a00a043b74a
|
[
"MIT"
] | 23
|
2018-05-27T07:51:47.000Z
|
2022-03-30T00:32:59.000Z
|
meta_learning/backend/tensorflow/model/__init__.py
|
fmeier/online-meta-learning
|
48d36de16d232cd3fc00c460e6419a00a043b74a
|
[
"MIT"
] | null | null | null |
meta_learning/backend/tensorflow/model/__init__.py
|
fmeier/online-meta-learning
|
48d36de16d232cd3fc00c460e6419a00a043b74a
|
[
"MIT"
] | 7
|
2019-03-03T02:14:47.000Z
|
2021-11-03T21:05:10.000Z
|
from tf_utils.model import interface
from meta_learning.backend.tensorflow.model.lenet_small import LenetSmall
from meta_learning.backend.tensorflow.model.rosenbrock import Rosenbrock
create_from_params = interface.Interface.create_from_params
| 35.142857
| 73
| 0.882114
| 33
| 246
| 6.333333
| 0.484848
| 0.076555
| 0.15311
| 0.220096
| 0.363636
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0
| 0.069106
| 246
| 6
| 74
| 41
| 0.912664
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
2299d11909cf984bbc16e66ba1c0fc2de4dccefa
| 557
|
py
|
Python
|
test/test_utils/test_subprocesses.py
|
ProfessorManhattan/ansibler
|
ca3cbd8af974b59a70e6c46b4ee7f97f68158031
|
[
"MIT"
] | null | null | null |
test/test_utils/test_subprocesses.py
|
ProfessorManhattan/ansibler
|
ca3cbd8af974b59a70e6c46b4ee7f97f68158031
|
[
"MIT"
] | null | null | null |
test/test_utils/test_subprocesses.py
|
ProfessorManhattan/ansibler
|
ca3cbd8af974b59a70e6c46b4ee7f97f68158031
|
[
"MIT"
] | null | null | null |
from unittest import TestCase
from ansibler.utils.subprocesses import get_subprocess_output
class TestSubprocesses(TestCase):
def test_get_subprocess_output(self):
"""
Test subprocess output
"""
out = get_subprocess_output(["echo", "Hello, world!"])
self.assertEqual(out, "Hello, world!")
def test_filter_subprocess_output(self):
"""
Test grep subprocess output
"""
out = get_subprocess_output(("echo", "-e", "Hello\nWorld"), "World")
self.assertEqual(out, "World")
| 29.315789
| 76
| 0.642729
| 59
| 557
| 5.864407
| 0.40678
| 0.323699
| 0.219653
| 0.138728
| 0.242775
| 0.242775
| 0.242775
| 0
| 0
| 0
| 0
| 0
| 0.236984
| 557
| 18
| 77
| 30.944444
| 0.814118
| 0.089767
| 0
| 0
| 0
| 0
| 0.126087
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 1
| 0.222222
| false
| 0
| 0.222222
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
22f8a92b65e92ff466866b4ebc3e43cc2da32f88
| 162
|
py
|
Python
|
test-pyfiles/verysimpletest.py
|
severuscat/fp-translator
|
9acc0a802ed9570a4ba00b0b6ac0a69cabaa6ad0
|
[
"BSD-3-Clause"
] | null | null | null |
test-pyfiles/verysimpletest.py
|
severuscat/fp-translator
|
9acc0a802ed9570a4ba00b0b6ac0a69cabaa6ad0
|
[
"BSD-3-Clause"
] | null | null | null |
test-pyfiles/verysimpletest.py
|
severuscat/fp-translator
|
9acc0a802ed9570a4ba00b0b6ac0a69cabaa6ad0
|
[
"BSD-3-Clause"
] | null | null | null |
print "this is test-pyfiles/verysimpletest.py"
def x(c):
while c < 10:
c = c + 1
c = c + 1
print c
return c
print "300"
print x(1)
| 18
| 46
| 0.524691
| 28
| 162
| 3.035714
| 0.535714
| 0.047059
| 0.070588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.07767
| 0.364198
| 162
| 9
| 47
| 18
| 0.747573
| 0
| 0
| 0.222222
| 0
| 0
| 0.251534
| 0.184049
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.444444
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
22ff28e39faf72f881ab215239fccb18fafceb14
| 280
|
py
|
Python
|
pyschema/contrib/luigi.py
|
HasibeZaferr/pyschema
|
7e6c3934150bcb040c628d74ace6caf5fcf867df
|
[
"Apache-2.0"
] | 57
|
2015-01-30T06:04:05.000Z
|
2022-03-26T17:51:41.000Z
|
pyschema/contrib/luigi.py
|
HasibeZaferr/pyschema
|
7e6c3934150bcb040c628d74ace6caf5fcf867df
|
[
"Apache-2.0"
] | 19
|
2015-04-20T09:58:06.000Z
|
2015-11-13T17:31:52.000Z
|
pyschema/contrib/luigi.py
|
spotify/pyschema
|
7e6c3934150bcb040c628d74ace6caf5fcf867df
|
[
"Apache-2.0"
] | 28
|
2015-01-25T07:01:55.000Z
|
2022-03-19T15:49:12.000Z
|
import warnings
warnings.warn(
"pyschema.contrib.luigi is deprecated and will be removed.\n"
"Please use the pyschema_extensions.luigi package instead.",
DeprecationWarning,
stacklevel=2
)
import pyschema_extensions.luigi
from pyschema_extensions.luigi import *
| 23.333333
| 65
| 0.778571
| 34
| 280
| 6.323529
| 0.676471
| 0.251163
| 0.32093
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004219
| 0.153571
| 280
| 11
| 66
| 25.454545
| 0.902954
| 0
| 0
| 0
| 0
| 0
| 0.414286
| 0.167857
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fe0ceb5028e40804c4e1fed42715af7ac89c0c77
| 87
|
py
|
Python
|
src/advert/apps.py
|
666squared999/back
|
9eba86ffbbbd404b914a8cb84fc62a71bccb13d5
|
[
"MIT"
] | 4
|
2021-01-21T15:29:02.000Z
|
2022-02-28T07:58:55.000Z
|
src/advert/apps.py
|
666squared999/back
|
9eba86ffbbbd404b914a8cb84fc62a71bccb13d5
|
[
"MIT"
] | null | null | null |
src/advert/apps.py
|
666squared999/back
|
9eba86ffbbbd404b914a8cb84fc62a71bccb13d5
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class AdvertConfig(AppConfig):
name = 'advert'
| 14.5
| 33
| 0.747126
| 10
| 87
| 6.5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 87
| 5
| 34
| 17.4
| 0.902778
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
fe19a18a98e0324174488006dd7a6ca8fa7c3774
| 877
|
py
|
Python
|
hipyelp/migrations/0007_auto_20210423_1923.py
|
buggydev1/Hip_yelp_Back
|
f80407d898d267465e5cfbf7f73905b776e91b43
|
[
"MIT"
] | null | null | null |
hipyelp/migrations/0007_auto_20210423_1923.py
|
buggydev1/Hip_yelp_Back
|
f80407d898d267465e5cfbf7f73905b776e91b43
|
[
"MIT"
] | null | null | null |
hipyelp/migrations/0007_auto_20210423_1923.py
|
buggydev1/Hip_yelp_Back
|
f80407d898d267465e5cfbf7f73905b776e91b43
|
[
"MIT"
] | 2
|
2021-04-22T14:42:57.000Z
|
2021-05-18T01:11:58.000Z
|
# Generated by Django 3.2 on 2021-04-23 19:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('hipyelp', '0006_auto_20210422_0129'),
]
operations = [
migrations.AddField(
model_name='drink',
name='lat',
field=models.CharField(default='lat', max_length=20),
),
migrations.AddField(
model_name='drink',
name='lon',
field=models.CharField(default='lon', max_length=20),
),
migrations.AddField(
model_name='food',
name='lat',
field=models.CharField(default='lat', max_length=20),
),
migrations.AddField(
model_name='food',
name='lon',
field=models.CharField(default='lon', max_length=20),
),
]
| 25.794118
| 65
| 0.54504
| 88
| 877
| 5.306818
| 0.420455
| 0.154176
| 0.197002
| 0.231263
| 0.680942
| 0.680942
| 0.601713
| 0.601713
| 0.601713
| 0.526767
| 0
| 0.064298
| 0.326112
| 877
| 33
| 66
| 26.575758
| 0.725888
| 0.049031
| 0
| 0.740741
| 1
| 0
| 0.086538
| 0.027644
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.037037
| 0
| 0.148148
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fe1e2b5600a44da8144240e0381f0e3173c52399
| 110
|
py
|
Python
|
profiles_api/admin.py
|
shashanksharma129/profiles-rest-api
|
d4ee1b26aafb462ed8a0d7c4cd03e51073fa30e0
|
[
"MIT"
] | null | null | null |
profiles_api/admin.py
|
shashanksharma129/profiles-rest-api
|
d4ee1b26aafb462ed8a0d7c4cd03e51073fa30e0
|
[
"MIT"
] | null | null | null |
profiles_api/admin.py
|
shashanksharma129/profiles-rest-api
|
d4ee1b26aafb462ed8a0d7c4cd03e51073fa30e0
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from profiles_api.models import UserProfile
admin.site.register(UserProfile)
| 27.5
| 43
| 0.863636
| 15
| 110
| 6.266667
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081818
| 110
| 4
| 44
| 27.5
| 0.930693
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
a3b3904e890896698f4bc763a95fb745fea4c807
| 141
|
py
|
Python
|
ports/teensy/memzip_files/main.py
|
sebastien-riou/micropython
|
116c15842fd48ddb77b0bc016341d936a0756573
|
[
"MIT"
] | 13,648
|
2015-01-01T01:34:51.000Z
|
2022-03-31T16:19:53.000Z
|
ports/teensy/memzip_files/main.py
|
sebastien-riou/micropython
|
116c15842fd48ddb77b0bc016341d936a0756573
|
[
"MIT"
] | 7,092
|
2015-01-01T07:59:11.000Z
|
2022-03-31T23:52:18.000Z
|
ports/teensy/memzip_files/main.py
|
sebastien-riou/micropython
|
116c15842fd48ddb77b0bc016341d936a0756573
|
[
"MIT"
] | 4,942
|
2015-01-02T11:48:50.000Z
|
2022-03-31T19:57:10.000Z
|
import pyb
print("Executing main.py")
led = pyb.LED(1)
led.on()
pyb.delay(100)
led.off()
pyb.delay(100)
led.on()
pyb.delay(100)
led.off()
| 10.071429
| 26
| 0.666667
| 27
| 141
| 3.481481
| 0.444444
| 0.255319
| 0.351064
| 0.446809
| 0.468085
| 0.468085
| 0.468085
| 0
| 0
| 0
| 0
| 0.080645
| 0.120567
| 141
| 13
| 27
| 10.846154
| 0.677419
| 0
| 0
| 0.7
| 0
| 0
| 0.120567
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0.1
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a3ce842ddea350abc91ba3899197657032ab574e
| 233
|
py
|
Python
|
validator/models/__init__.py
|
pbutting/qa4sm
|
7b403cd542ae4d5ff5749214e3c45bcbf33f0247
|
[
"MIT"
] | null | null | null |
validator/models/__init__.py
|
pbutting/qa4sm
|
7b403cd542ae4d5ff5749214e3c45bcbf33f0247
|
[
"MIT"
] | null | null | null |
validator/models/__init__.py
|
pbutting/qa4sm
|
7b403cd542ae4d5ff5749214e3c45bcbf33f0247
|
[
"MIT"
] | null | null | null |
from .custom_user import User
from .filter import DataFilter
from .version import DatasetVersion
from .variable import DataVariable
from .dataset import Dataset
from .validation_run import ValidationRun
from .settings import Settings
| 33.285714
| 41
| 0.854077
| 30
| 233
| 6.566667
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.11588
| 233
| 7
| 42
| 33.285714
| 0.956311
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a3d3498587166724787224f1a1d61541314fd9f9
| 319
|
py
|
Python
|
lib/oeqa/runtime/cases/rubygems_rubygems_aws_sdk_synthetics.py
|
tuxable-ltd/meta-rubygems
|
e80630e79b64e1be8339e1add0ab07644ec99425
|
[
"BSD-2-Clause"
] | null | null | null |
lib/oeqa/runtime/cases/rubygems_rubygems_aws_sdk_synthetics.py
|
tuxable-ltd/meta-rubygems
|
e80630e79b64e1be8339e1add0ab07644ec99425
|
[
"BSD-2-Clause"
] | 141
|
2021-02-04T16:22:13.000Z
|
2022-03-27T08:29:40.000Z
|
lib/oeqa/runtime/cases/rubygems_rubygems_aws_sdk_synthetics.py
|
tuxable-ltd/meta-rubygems
|
e80630e79b64e1be8339e1add0ab07644ec99425
|
[
"BSD-2-Clause"
] | 3
|
2021-02-04T14:02:01.000Z
|
2022-02-02T16:46:52.000Z
|
from rubygems_utils import RubyGemsTestUtils
class RubyGemsTestrubygems_aws_sdk_synthetics(RubyGemsTestUtils):
def test_gem_list_rubygems_aws_sdk_synthetics(self):
self.gem_is_installed("aws-sdk-synthetics")
def test_load_aws_sdk_synthetics(self):
self.gem_is_loadable("aws-sdk-synthetics")
| 29
| 65
| 0.802508
| 41
| 319
| 5.804878
| 0.463415
| 0.12605
| 0.336134
| 0.168067
| 0.243697
| 0.243697
| 0.243697
| 0
| 0
| 0
| 0
| 0
| 0.125392
| 319
| 10
| 66
| 31.9
| 0.853047
| 0
| 0
| 0
| 0
| 0
| 0.113208
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
a3f5d098cbdb1ec1512bba82bd0373b142a9167f
| 96
|
py
|
Python
|
ner_trainer/apps.py
|
sainioan/extractiontool
|
9908b7ff1915b00a5721405a48b13d941442e1dd
|
[
"MIT"
] | 2
|
2021-05-18T17:25:06.000Z
|
2021-05-28T04:24:16.000Z
|
ner_trainer/apps.py
|
sainioan/extractiontool
|
9908b7ff1915b00a5721405a48b13d941442e1dd
|
[
"MIT"
] | 38
|
2021-01-20T09:38:37.000Z
|
2021-05-15T13:10:05.000Z
|
ner_trainer/apps.py
|
sainioan/extractiontool
|
9908b7ff1915b00a5721405a48b13d941442e1dd
|
[
"MIT"
] | 3
|
2021-01-20T13:18:31.000Z
|
2021-02-25T13:34:49.000Z
|
from django.apps import AppConfig
class NerTrainerConfig(AppConfig):
name = 'ner_trainer'
| 16
| 34
| 0.770833
| 11
| 96
| 6.636364
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15625
| 96
| 5
| 35
| 19.2
| 0.901235
| 0
| 0
| 0
| 0
| 0
| 0.114583
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
a3fb1992afc7d1b435d1fd45d37749ec8cf8bcce
| 134
|
py
|
Python
|
cases/models.py
|
lawalkeyd/Law_Firm
|
02bf019929987e6a1b35b34bc60e5848a4a9ce35
|
[
"MIT"
] | null | null | null |
cases/models.py
|
lawalkeyd/Law_Firm
|
02bf019929987e6a1b35b34bc60e5848a4a9ce35
|
[
"MIT"
] | null | null | null |
cases/models.py
|
lawalkeyd/Law_Firm
|
02bf019929987e6a1b35b34bc60e5848a4a9ce35
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class Cases(models.Model):
title = models.CharField(max_length=126)
| 19.142857
| 44
| 0.731343
| 19
| 134
| 5.105263
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027273
| 0.179104
| 134
| 7
| 45
| 19.142857
| 0.854545
| 0.179104
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
43313652e26cd35f5264b38d64f5b98c93e1021e
| 23,316
|
py
|
Python
|
services/core/PlatformDriverAgent/platform_driver/interfaces/modbus_tk/tests/test_battery_meter.py
|
cloudcomputingabc/volttron
|
6495e26e3185a7af8d0d79ad2586bdf8ea83992d
|
[
"Apache-2.0",
"BSD-2-Clause"
] | 406
|
2015-01-20T03:08:53.000Z
|
2022-03-31T20:59:07.000Z
|
services/core/PlatformDriverAgent/platform_driver/interfaces/modbus_tk/tests/test_battery_meter.py
|
cloudcomputingabc/volttron
|
6495e26e3185a7af8d0d79ad2586bdf8ea83992d
|
[
"Apache-2.0",
"BSD-2-Clause"
] | 2,031
|
2015-01-05T21:35:45.000Z
|
2022-03-29T21:44:36.000Z
|
services/core/PlatformDriverAgent/platform_driver/interfaces/modbus_tk/tests/test_battery_meter.py
|
cloudcomputingabc/volttron
|
6495e26e3185a7af8d0d79ad2586bdf8ea83992d
|
[
"Apache-2.0",
"BSD-2-Clause"
] | 219
|
2015-01-20T14:53:57.000Z
|
2022-03-06T00:37:41.000Z
|
import pytest
import gevent
import logging
import time
from volttron.platform import get_services_core, jsonapi
from volttrontesting.utils.utils import get_rand_ip_and_port
from platform_driver.interfaces.modbus_tk.server import Server
from platform_driver.interfaces.modbus_tk.maps import Map, Catalog
from volttron.platform.agent.known_identities import PLATFORM_DRIVER
logger = logging.getLogger(__name__)
IP, _port = get_rand_ip_and_port().split(":")
PORT = int(_port)
# New modbus_tk driver config
DRIVER_CONFIG = {
"driver_config": {
"name": "test",
"device_address": IP,
"port": PORT,
"slave_id": 1,
"addressing": "offset",
"register_map": "config://modbus_tk_map.csv"
},
"driver_type": "modbus_tk",
"registry_config": "config://modbus_tk.csv",
"interval": 60,
"timezone": "UTC"
}
# New modbus_tk csv config
REGISTRY_CONFIG_STRING = """Volttron Point Name,Register Name
BRAND (),BRAND ()
MODEL (),MODEL ()
COMS STATUS (),COMS STATUS ()
COMS QUALITY (),COMS QUALITY ()
NUMBER OF QUERIES (),NUMBER OF QUERIES ()
NUMBER OF FAILS (),NUMBER OF FAILS ()
DATE LAST ACQUISITION (),DATE LAST ACQUISITION ()
LAST SAMPLING DURATION (s),LAST SAMPLING DURATION (s)
ACCUMULATED REAL ENERGY NET (IMPORT-EXPORT) (kWh),ACCUMULATED REAL ENERGY NET (IMPORT-EXPORT) (kWh)
REAL ENERGY QUADRANTS 1-4 IMPORT (kWh),REAL ENERGY QUADRANTS 1-4 IMPORT (kWh)
REAL ENERGY QUADRANTS 2-3 EXPORT (kWh),REAL ENERGY QUADRANTS 2-3 EXPORT (kWh)
REACTIVE ENERGY - QUADRANT 1 IMPORT (kVARh),REACTIVE ENERGY - QUADRANT 1 IMPORT (kVARh)
REACTIVE ENERGY - QUADRANT 2 IMPORT (kVARh),REACTIVE ENERGY - QUADRANT 2 IMPORT (kVARh)
REACTIVE ENERGY - QUADRANT 3 EXPORT (kVARh),REACTIVE ENERGY - QUADRANT 3 EXPORT (kVARh)
REACTIVE ENERGY - QUADRANT 4 EXPORT (kVARh),REACTIVE ENERGY - QUADRANT 4 EXPORT (kVARh)
APPARENT ENERGY NET (IMPORT/EXPORT) (kVAh),APPARENT ENERGY NET (IMPORT/EXPORT) (kVAh)
APPARENT QUADRANTS 1-4 IMPORT (kVAh),APPARENT QUADRANTS 1-4 IMPORT (kVAh)
APPARENT QUADRANTS 2-3 EXPORT (kVAh),APPARENT QUADRANTS 2-3 EXPORT (kVAh)
TOTAL INSTANTANEOUS REAL POWER (kW),TOTAL INSTANTANEOUS REAL POWER (kW)
TOTAL INSTANTANEOUS REACTIVE POWER (kVAR),TOTAL INSTANTANEOUS REACTIVE POWER (kVAR)
TOTAL INSTANTANEOUS APPARENT POWER (kVA),TOTAL INSTANTANEOUS APPARENT POWER (kVA)
TOTAL POWER FACTOR (-),TOTAL POWER FACTOR (-)
AVERAGE VOLTAGE L-L (V),AVERAGE VOLTAGE L-L (V)
AVERAGE VOLTAGE L-N (V),AVERAGE VOLTAGE L-N (V)
AVERAGE CURRENT (A),AVERAGE CURRENT (A)
FREQUENCY (Hz),FREQUENCY (Hz)
TOTAL REAL POWER PRESENT DEMAND (kW),TOTAL REAL POWER PRESENT DEMAND (kW)
TOTAL REACTIVE POWER PRESENT DEMAND (kVAR),TOTAL REACTIVE POWER PRESENT DEMAND (kVAR)
TOTAL APPARENT POWER PRESENT DEMAND (kVA),TOTAL APPARENT POWER PRESENT DEMAND (kVA)
TOTAL REAL POWER MAX. DEMAND IMPORT (kW),TOTAL REAL POWER MAX. DEMAND IMPORT (kW)
TOTAL REACTIVE POWER MAX. DEMAND IMPORT (kVAR),TOTAL REACTIVE POWER MAX. DEMAND IMPORT (kVAR)
TOTAL APPARENT POWER MAX. DEMAND IMPORT (kVA),TOTAL APPARENT POWER MAX. DEMAND IMPORT (kVA)
TOTAL REAL POWER MAX. DEMAND EXPORT (kW),TOTAL REAL POWER MAX. DEMAND EXPORT (kW)
TOTAL REACTIVE POWER MAX. DEMAND EXPORT (kVAR),TOTAL REACTIVE POWER MAX. DEMAND EXPORT (kVAR)
TOTAL APPARENT POWER MAX. DEMAND EXPORT (kVA),TOTAL APPARENT POWER MAX. DEMAND EXPORT (kVA)
PULSE COUNTER 1 (-),PULSE COUNTER 1 (-)
PULSE COUNTER 2 (-),PULSE COUNTER 2 (-)
ACCUMULATED REAL ENERGY PHASE A IMPORT (kWh),ACCUMULATED REAL ENERGY PHASE A IMPORT (kWh)
ACCUMULATED REAL ENERGY PHASE B IMPORT (kWh),ACCUMULATED REAL ENERGY PHASE B IMPORT (kWh)
ACCUMULATED REAL ENERGY PHASE C IMPORT (kWh),ACCUMULATED REAL ENERGY PHASE C IMPORT (kWh)
ACCUMULATED REAL ENERGY PHASE A EXPORT (kWh),ACCUMULATED REAL ENERGY PHASE A EXPORT (kWh)
ACCUMULATED REAL ENERGY PHASE B EXPORT (kWh),ACCUMULATED REAL ENERGY PHASE B EXPORT (kWh)
ACCUMULATED REAL ENERGY PHASE C EXPORT (kWh),ACCUMULATED REAL ENERGY PHASE C EXPORT (kWh)
ACCUMULATED Q1 REACTIVE ENERGY PHASE A IMPORT (kVARh),ACCUMULATED Q1 REACTIVE ENERGY PHASE A IMPORT (kVARh)
ACCUMULATED Q1 REACTIVE ENERGY PHASE B IMPORT (kVARh),ACCUMULATED Q1 REACTIVE ENERGY PHASE B IMPORT (kVARh)
ACCUMULATED Q1 REACTIVE ENERGY PHASE C IMPORT (kVARh),ACCUMULATED Q1 REACTIVE ENERGY PHASE C IMPORT (kVARh)
ACCUMULATED Q2 REACTIVE ENERGY PHASE A IMPORT (kVARh),ACCUMULATED Q2 REACTIVE ENERGY PHASE A IMPORT (kVARh)
ACCUMULATED Q2 REACTIVE ENERGY PHASE B IMPORT (kVARh),ACCUMULATED Q2 REACTIVE ENERGY PHASE B IMPORT (kVARh)
ACCUMULATED Q2 REACTIVE ENERGY PHASE C IMPORT (kVARh),ACCUMULATED Q2 REACTIVE ENERGY PHASE C IMPORT (kVARh)
ACCUMULATED Q3 REACTIVE ENERGY PHASE A EXPORT (kVARh),ACCUMULATED Q3 REACTIVE ENERGY PHASE A EXPORT (kVARh)
ACCUMULATED Q3 REACTIVE ENERGY PHASE B EXPORT (kVARh),ACCUMULATED Q3 REACTIVE ENERGY PHASE B EXPORT (kVARh)
ACCUMULATED Q3 REACTIVE ENERGY PHASE C EXPORT (kVARh),ACCUMULATED Q3 REACTIVE ENERGY PHASE C EXPORT (kVARh)
ACCUMULATED Q4 REACTIVE ENERGY PHASE A EXPORT (kVARh),ACCUMULATED Q4 REACTIVE ENERGY PHASE A EXPORT (kVARh)
ACCUMULATED Q4 REACTIVE ENERGY PHASE B EXPORT (kVARh),ACCUMULATED Q4 REACTIVE ENERGY PHASE B EXPORT (kVARh)
ACCUMULATED Q4 REACTIVE ENERGY PHASE C EXPORT (kVARh),ACCUMULATED Q4 REACTIVE ENERGY PHASE C EXPORT (kVARh)
ACCUMULATED APPARENT ENERGY PHASE A IMPORT (kVAh),ACCUMULATED APPARENT ENERGY PHASE A IMPORT (kVAh)
ACCUMULATED APPARENT ENERGY PHASE B IMPORT (kVAh),ACCUMULATED APPARENT ENERGY PHASE B IMPORT (kVAh)
ACCUMULATED APPARENT ENERGY PHASE C IMPORT (kVAh),ACCUMULATED APPARENT ENERGY PHASE C IMPORT (kVAh)
ACCUMULATED APPARENT ENERGY PHASE A EXPORT (kVAh),ACCUMULATED APPARENT ENERGY PHASE A EXPORT (kVAh)
ACCUMULATED APPARENT ENERGY PHASE B EXPORT (kVAh),ACCUMULATED APPARENT ENERGY PHASE B EXPORT (kVAh)
ACCUMULATED APPARENT ENERGY PHASE C EXPORT (kVAh),ACCUMULATED APPARENT ENERGY PHASE C EXPORT (kVAh)
REAL POWER PHASE A (kW),REAL POWER PHASE A (kW)
REAL POWER PHASE B (kW),REAL POWER PHASE B (kW)
REAL POWER PHASE C (kW),REAL POWER PHASE C (kW)
REACTIVE POWER PHASE A (kVAR),REACTIVE POWER PHASE A (kVAR)
REACTIVE POWER PHASE B (kVAR),REACTIVE POWER PHASE B (kVAR)
REACTIVE POWER PHASE C (kVAR),REACTIVE POWER PHASE C (kVAR)
APPARENT POWER PHASE A (kVA),APPARENT POWER PHASE A (kVA)
APPARENT POWER PHASE B (kVA),APPARENT POWER PHASE B (kVA)
APPARENT POWER PHASE C (kVA),APPARENT POWER PHASE C (kVA)
POWER FACTOR PHASE A (-),POWER FACTOR PHASE A (-)
POWER FACTOR PHASE B (-),POWER FACTOR PHASE B (-)
POWER FACTOR PHASE C (-),POWER FACTOR PHASE C (-)
VOLTAGE PHASE A-B (V),VOLTAGE PHASE A-B (V)
VOLTAGE PHASE B-C (V),VOLTAGE PHASE B-C (V)
VOLTAGE PHASE A-C (V),VOLTAGE PHASE A-C (V)
VOLTAGE PHASE A-N (V),VOLTAGE PHASE A-N (V)
VOLTAGE PHASE B-N (V),VOLTAGE PHASE B-N (V)
VOLTAGE PHASE C-N (V),VOLTAGE PHASE C-N (V)
CURRENT PHASE A (A),CURRENT PHASE A (A)
CURRENT PHASE B (A),CURRENT PHASE B (A)
CURRENT PHASE C (A),CURRENT PHASE C (A)"""
REGISTER_MAP = """Register Name,Address,Type,Units,Writable,Transform,Table,Mixed Endian
ACCUMULATED REAL ENERGY NET (IMPORT-EXPORT) (kWh),399,float,kWh,TRUE,,analog_output_holding_registers,TRUE
REAL ENERGY QUADRANTS 1-4 IMPORT (kWh),401,float,kWh,TRUE,,analog_output_holding_registers,TRUE
REAL ENERGY QUADRANTS 2-3 EXPORT (kWh),403,float,kWh,TRUE,,analog_output_holding_registers,TRUE
REACTIVE ENERGY - QUADRANT 1 IMPORT (kVARh),405,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
REACTIVE ENERGY - QUADRANT 2 IMPORT (kVARh),407,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
REACTIVE ENERGY - QUADRANT 3 EXPORT (kVARh),409,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
REACTIVE ENERGY - QUADRANT 4 EXPORT (kVARh),411,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
APPARENT ENERGY NET (IMPORT/EXPORT) (kVAh),413,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
APPARENT QUADRANTS 1-4 IMPORT (kVAh),415,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
APPARENT QUADRANTS 2-3 EXPORT (kVAh),417,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
TOTAL INSTANTANEOUS REAL POWER (kW),419,float,kW,TRUE,,analog_output_holding_registers,TRUE
TOTAL INSTANTANEOUS REACTIVE POWER (kVAR),421,float,kVAR,TRUE,,analog_output_holding_registers,TRUE
TOTAL INSTANTANEOUS APPARENT POWER (kVA),423,float,kVA,TRUE,,analog_output_holding_registers,TRUE
TOTAL POWER FACTOR (-),425,float,,TRUE,,analog_output_holding_registers,TRUE
AVERAGE VOLTAGE L-L (V),427,float,V,TRUE,,analog_output_holding_registers,TRUE
AVERAGE VOLTAGE L-N (V),429,float,V,TRUE,,analog_output_holding_registers,TRUE
AVERAGE CURRENT (A),431,float,A,TRUE,,analog_output_holding_registers,TRUE
FREQUENCY (Hz),433,float,Hz,TRUE,,analog_output_holding_registers,TRUE
TOTAL REAL POWER PRESENT DEMAND (kW),435,float,kW,TRUE,,analog_output_holding_registers,TRUE
TOTAL REACTIVE POWER PRESENT DEMAND (kVAR),437,float,kVAR,TRUE,,analog_output_holding_registers,TRUE
TOTAL APPARENT POWER PRESENT DEMAND (kVA),439,float,kVA,TRUE,,analog_output_holding_registers,TRUE
TOTAL REAL POWER MAX. DEMAND IMPORT (kW),441,float,kW,TRUE,,analog_output_holding_registers,TRUE
TOTAL REACTIVE POWER MAX. DEMAND IMPORT (kVAR),443,float,kVAR,TRUE,,analog_output_holding_registers,TRUE
TOTAL APPARENT POWER MAX. DEMAND IMPORT (kVA),445,float,kVA,TRUE,,analog_output_holding_registers,TRUE
TOTAL REAL POWER MAX. DEMAND EXPORT (kW),447,float,kW,TRUE,,analog_output_holding_registers,TRUE
TOTAL REACTIVE POWER MAX. DEMAND EXPORT (kVAR),449,float,kVAR,TRUE,,analog_output_holding_registers,TRUE
TOTAL APPARENT POWER MAX. DEMAND EXPORT (kVA),451,float,kVA,TRUE,,analog_output_holding_registers,TRUE
PULSE COUNTER 1 (-),453,float,,TRUE,,analog_output_holding_registers,TRUE
PULSE COUNTER 2 (-),455,float,,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED REAL ENERGY PHASE A IMPORT (kWh),457,float,kWh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED REAL ENERGY PHASE B IMPORT (kWh),459,float,kWh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED REAL ENERGY PHASE C IMPORT (kWh),461,float,kWh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED REAL ENERGY PHASE A EXPORT (kWh),463,float,kWh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED REAL ENERGY PHASE B EXPORT (kWh),465,float,kWh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED REAL ENERGY PHASE C EXPORT (kWh),467,float,kWh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q1 REACTIVE ENERGY PHASE A IMPORT (kVARh),469,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q1 REACTIVE ENERGY PHASE B IMPORT (kVARh),471,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q1 REACTIVE ENERGY PHASE C IMPORT (kVARh),473,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q2 REACTIVE ENERGY PHASE A IMPORT (kVARh),475,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q2 REACTIVE ENERGY PHASE B IMPORT (kVARh),477,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q2 REACTIVE ENERGY PHASE C IMPORT (kVARh),479,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q3 REACTIVE ENERGY PHASE A EXPORT (kVARh),481,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q3 REACTIVE ENERGY PHASE B EXPORT (kVARh),483,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q3 REACTIVE ENERGY PHASE C EXPORT (kVARh),485,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q4 REACTIVE ENERGY PHASE A EXPORT (kVARh),487,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q4 REACTIVE ENERGY PHASE B EXPORT (kVARh),489,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED Q4 REACTIVE ENERGY PHASE C EXPORT (kVARh),491,float,kVARh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED APPARENT ENERGY PHASE A IMPORT (kVAh),493,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED APPARENT ENERGY PHASE B IMPORT (kVAh),495,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED APPARENT ENERGY PHASE C IMPORT (kVAh),497,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED APPARENT ENERGY PHASE A EXPORT (kVAh),499,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED APPARENT ENERGY PHASE B EXPORT (kVAh),501,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
ACCUMULATED APPARENT ENERGY PHASE C EXPORT (kVAh),503,float,kVAh,TRUE,,analog_output_holding_registers,TRUE
REAL POWER PHASE A (kW),505,float,kW,TRUE,,analog_output_holding_registers,TRUE
REAL POWER PHASE B (kW),507,float,kW,TRUE,,analog_output_holding_registers,TRUE
REAL POWER PHASE C (kW),509,float,kW,TRUE,,analog_output_holding_registers,TRUE
REACTIVE POWER PHASE A (kVAR),511,float,kVAR,TRUE,,analog_output_holding_registers,TRUE
REACTIVE POWER PHASE B (kVAR),513,float,kVAR,TRUE,,analog_output_holding_registers,TRUE
REACTIVE POWER PHASE C (kVAR),515,float,kVAR,TRUE,,analog_output_holding_registers,TRUE
APPARENT POWER PHASE A (kVA),517,float,kVA,TRUE,,analog_output_holding_registers,TRUE
APPARENT POWER PHASE B (kVA),519,float,kVA,TRUE,,analog_output_holding_registers,TRUE
APPARENT POWER PHASE C (kVA),521,float,kVA,TRUE,,analog_output_holding_registers,TRUE
POWER FACTOR PHASE A (-),523,float,,TRUE,,analog_output_holding_registers,TRUE
POWER FACTOR PHASE B (-),525,float,,TRUE,,analog_output_holding_registers,TRUE
POWER FACTOR PHASE C (-),527,float,,TRUE,,analog_output_holding_registers,TRUE
VOLTAGE PHASE A-B (V),529,float,V,TRUE,,analog_output_holding_registers,TRUE
VOLTAGE PHASE B-C (V),531,float,V,TRUE,,analog_output_holding_registers,TRUE
VOLTAGE PHASE A-C (V),533,float,V,TRUE,,analog_output_holding_registers,TRUE
VOLTAGE PHASE A-N (V),535,float,V,TRUE,,analog_output_holding_registers,TRUE
VOLTAGE PHASE B-N (V),537,float,V,TRUE,,analog_output_holding_registers,TRUE
VOLTAGE PHASE C-N (V),539,float,V,TRUE,,analog_output_holding_registers,TRUE
CURRENT PHASE A (A),541,float,A,TRUE,,analog_output_holding_registers,TRUE
CURRENT PHASE B (A),543,float,A,TRUE,,analog_output_holding_registers,TRUE
CURRENT PHASE C (A),545,float,A,TRUE,,analog_output_holding_registers,TRUE"""
# Register values dictionary for testing set_point and get_point
registers_dict = {"ACCUMULATED REAL ENERGY NET (IMPORT-EXPORT) (kWh)": 74.0,
"REAL ENERGY QUADRANTS 1-4 IMPORT (kWh)": 73.0,
"REAL ENERGY QUADRANTS 2-3 EXPORT (kWh)": 72.0,
"REACTIVE ENERGY - QUADRANT 1 IMPORT (kVARh)": 71.0,
"REACTIVE ENERGY - QUADRANT 2 IMPORT (kVARh)": 70.0,
"REACTIVE ENERGY - QUADRANT 3 EXPORT (kVARh)": 69.0,
"REACTIVE ENERGY - QUADRANT 4 EXPORT (kVARh)": 68.0,
"APPARENT ENERGY NET (IMPORT/EXPORT) (kVAh)": 67.0,
"APPARENT QUADRANTS 1-4 IMPORT (kVAh)": 66.0,
"APPARENT QUADRANTS 2-3 EXPORT (kVAh)": 65.0,
"TOTAL INSTANTANEOUS REAL POWER (kW)": 64.0,
"TOTAL INSTANTANEOUS REACTIVE POWER (kVAR)": 63.0,
"TOTAL INSTANTANEOUS APPARENT POWER (kVA)": 62.0,
"TOTAL POWER FACTOR (-)": 61.0,
"AVERAGE VOLTAGE L-L (V)": 60.0,
"AVERAGE VOLTAGE L-N (V)": 59.0,
"AVERAGE CURRENT (A)": 58.0,
"FREQUENCY (Hz)": 57.0,
"TOTAL REAL POWER PRESENT DEMAND (kW)": 56.0,
"TOTAL REACTIVE POWER PRESENT DEMAND (kVAR)": 55.0,
"TOTAL APPARENT POWER PRESENT DEMAND (kVA)": 54.0,
"TOTAL REAL POWER MAX. DEMAND IMPORT (kW)": 53.0,
"TOTAL REACTIVE POWER MAX. DEMAND IMPORT (kVAR)": 52.0,
"TOTAL APPARENT POWER MAX. DEMAND IMPORT (kVA)": 51.0,
"TOTAL REAL POWER MAX. DEMAND EXPORT (kW)": 50.0,
"TOTAL REACTIVE POWER MAX. DEMAND EXPORT (kVAR)": 49.0,
"TOTAL APPARENT POWER MAX. DEMAND EXPORT (kVA)": 48.0,
"PULSE COUNTER 1 (-)": 47.0,
"PULSE COUNTER 2 (-)": 46.0,
"ACCUMULATED REAL ENERGY PHASE A IMPORT (kWh)": 45.0,
"ACCUMULATED REAL ENERGY PHASE B IMPORT (kWh)": 44.0,
"ACCUMULATED REAL ENERGY PHASE C IMPORT (kWh)": 43.0,
"ACCUMULATED REAL ENERGY PHASE A EXPORT (kWh)": 42.0,
"ACCUMULATED REAL ENERGY PHASE B EXPORT (kWh)": 41.0,
"ACCUMULATED REAL ENERGY PHASE C EXPORT (kWh)": 40.0,
"ACCUMULATED Q1 REACTIVE ENERGY PHASE A IMPORT (kVARh)": 39.0,
"ACCUMULATED Q1 REACTIVE ENERGY PHASE B IMPORT (kVARh)": 38.0,
"ACCUMULATED Q1 REACTIVE ENERGY PHASE C IMPORT (kVARh)": 37.0,
"ACCUMULATED Q2 REACTIVE ENERGY PHASE A IMPORT (kVARh)": 36.0,
"ACCUMULATED Q2 REACTIVE ENERGY PHASE B IMPORT (kVARh)": 35.0,
"ACCUMULATED Q2 REACTIVE ENERGY PHASE C IMPORT (kVARh)": 34.0,
"ACCUMULATED Q3 REACTIVE ENERGY PHASE A EXPORT (kVARh)": 33.0,
"ACCUMULATED Q3 REACTIVE ENERGY PHASE B EXPORT (kVARh)": 32.0,
"ACCUMULATED Q3 REACTIVE ENERGY PHASE C EXPORT (kVARh)": 31.0,
"ACCUMULATED Q4 REACTIVE ENERGY PHASE A EXPORT (kVARh)": 30.0,
"ACCUMULATED Q4 REACTIVE ENERGY PHASE B EXPORT (kVARh)": 29.0,
"ACCUMULATED Q4 REACTIVE ENERGY PHASE C EXPORT (kVARh)": 28.0,
"ACCUMULATED APPARENT ENERGY PHASE A IMPORT (kVAh)": 27.0,
"ACCUMULATED APPARENT ENERGY PHASE B IMPORT (kVAh)": 26.0,
"ACCUMULATED APPARENT ENERGY PHASE C IMPORT (kVAh)": 25.0,
"ACCUMULATED APPARENT ENERGY PHASE A EXPORT (kVAh)": 24.0,
"ACCUMULATED APPARENT ENERGY PHASE B EXPORT (kVAh)": 23.0,
"ACCUMULATED APPARENT ENERGY PHASE C EXPORT (kVAh)": 22.0,
"REAL POWER PHASE A (kW)": 21.0,
"REAL POWER PHASE B (kW)": 20.0,
"REAL POWER PHASE C (kW)": 19.0,
"REACTIVE POWER PHASE A (kVAR)": 18.0,
"REACTIVE POWER PHASE B (kVAR)": 17.0,
"REACTIVE POWER PHASE C (kVAR)": 16.0,
"APPARENT POWER PHASE A (kVA)": 15.0,
"APPARENT POWER PHASE B (kVA)": 14.0,
"APPARENT POWER PHASE C (kVA)": 13.0,
"POWER FACTOR PHASE A (-)": 12.0,
"POWER FACTOR PHASE B (-)": 11.0,
"POWER FACTOR PHASE C (-)": 10.0,
"VOLTAGE PHASE A-B (V)": 9.0,
"VOLTAGE PHASE B-C (V)": 8.0,
"VOLTAGE PHASE A-C (V)": 7.0,
"VOLTAGE PHASE A-N (V)": 6.0,
"VOLTAGE PHASE B-N (V)": 5.0,
"VOLTAGE PHASE C-N (V)": 4.0,
"CURRENT PHASE A (A)": 3.0,
"CURRENT PHASE B (A)": 2.0,
"CURRENT PHASE C (A)": 1.0}
@pytest.fixture(scope="module")
def agent(request, volttron_instance):
"""
Build PlatformDriverAgent, add modbus driver & csv configurations
"""
# Build platform driver agent
md_agent = volttron_instance.build_agent(identity="test_md_agent")
capabilities = {'edit_config_store': {'identity': PLATFORM_DRIVER}}
volttron_instance.add_capabilities(md_agent.core.publickey, capabilities)
# Clean out platform driver configurations
# wait for it to return before adding new config
md_agent.vip.rpc.call('config.store',
'manage_delete_store',
PLATFORM_DRIVER).get()
# Add driver configurations
md_agent.vip.rpc.call('config.store',
'manage_store',
PLATFORM_DRIVER,
'devices/modbus_tk',
jsonapi.dumps(DRIVER_CONFIG),
config_type='json')
# Add csv configurations
md_agent.vip.rpc.call('config.store',
'manage_store',
PLATFORM_DRIVER,
'modbus_tk.csv',
REGISTRY_CONFIG_STRING,
config_type='csv')
md_agent.vip.rpc.call('config.store',
'manage_store',
PLATFORM_DRIVER,
'modbus_tk_map.csv',
REGISTER_MAP,
config_type='csv')
platform_uuid = volttron_instance.install_agent(
agent_dir=get_services_core("PlatformDriverAgent"),
config_file={},
start=True)
gevent.sleep(10) # wait for the agent to start and start the devices
def stop():
"""
Stop platform driver agent
"""
volttron_instance.stop_agent(platform_uuid)
md_agent.core.stop()
request.addfinalizer(stop)
return md_agent
@pytest.fixture(scope='class')
def modbus_server(request):
modbus_client = Catalog()['battery_meter'].get_class()
server_process = Server(address=IP, port=PORT)
server_process.define_slave(1, modbus_client, unsigned=False)
server_process.start()
time.sleep(1)
yield server_process
time.sleep(1)
server_process.stop()
@pytest.mark.usefixtures("modbus_server")
class TestModbusTKDriver:
"""
Regression tests for the modbus_tk driver interface.
"""
def get_point(self, agent, device_name, point_name):
"""
Issue a get_point RPC call for the named point and return the result.
@param agent: The test Agent.
@param device_name: The driver name, by default: 'devices/device_name'.
@param point_name: The name of the point to query.
@return: The actual reading value of the point name from the RPC call.
"""
return agent.vip.rpc.call(PLATFORM_DRIVER, 'get_point', device_name,
point_name).get(timeout=10)
def set_point(self, agent, device_name, point_name, point_value):
"""
Issue a set_point RPC call for the named point and value, and return the
result.
@param agent: The test Agent.
@param device_name: The driver name, by default: 'devices/device_name'.
@param point_name: The name of the point to query.
@param point_value: The value to set on the point.
@return:The actual reading value of the point name from the RPC call.
"""
return agent.vip.rpc.call(PLATFORM_DRIVER, 'set_point', device_name,
point_name, point_value).get(timeout=10)
def scrape_all(self, agent, device_name):
"""
Issue a get_point RPC call for the device and return the result.
@param agent: The test Agent.
@param device_name: The driver name, by default: 'devices/device_name'.
@return: The dictionary mapping point names to their actual values from
the RPC call.
"""
return agent.vip.rpc.call(PLATFORM_DRIVER, 'scrape_all', device_name)\
.get(timeout=10)
def test_scrape_all(self, agent):
for key in registers_dict.keys():
self.set_point(agent, 'modbus_tk', key, registers_dict[key])
assert self.get_point(agent, 'modbus_tk', key) == \
registers_dict[key]
assert type(self.scrape_all(agent, 'modbus_tk')) is dict
| 59.177665
| 112
| 0.704023
| 3,289
| 23,316
| 4.878991
| 0.107327
| 0.065807
| 0.073783
| 0.106063
| 0.813485
| 0.770362
| 0.722565
| 0.605845
| 0.493114
| 0.415093
| 0
| 0.029623
| 0.199348
| 23,316
| 393
| 113
| 59.328244
| 0.829976
| 0.059444
| 0
| 0.043614
| 0
| 0.074766
| 0.74962
| 0.216391
| 0
| 0
| 0
| 0
| 0.006231
| 1
| 0.021807
| false
| 0
| 0.224299
| 0
| 0.261682
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4337bdd4b4d07fbc421c8570067716280584d906
| 2,836
|
py
|
Python
|
examples/parser/test_precedence.py
|
rartino/python-optimade-server
|
84457091c7ec0db52a7e034bb6a7cd4bcbdd4e57
|
[
"MIT"
] | null | null | null |
examples/parser/test_precedence.py
|
rartino/python-optimade-server
|
84457091c7ec0db52a7e034bb6a7cd4bcbdd4e57
|
[
"MIT"
] | null | null | null |
examples/parser/test_precedence.py
|
rartino/python-optimade-server
|
84457091c7ec0db52a7e034bb6a7cd4bcbdd4e57
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
from __future__ import print_function
import sys, os
from pprint import pprint
sys.path.append(os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),'src'))
from parse.miniparser import parser, build_ls, ParserSyntaxError
grammar = """
S = E ;
E = E , "*" , E ;
E = E , "/" , E ;
E = E , "+" , E ;
E = E , "-" , E ;
E = E , "=" , E ;
E = id ;
E = int ;
"""
ls_default = build_ls(ebnf_grammar=grammar, start='S', ignore=' \t\n',
tokens={'id': '[a-zA-Z][a-zA-Z0-9_]*',
'int': '[0-9]+'})
ls_left = build_ls(ebnf_grammar=grammar, start='S', ignore=' \t\n',
tokens={'id': '[a-zA-Z][a-zA-Z0-9_]*',
'int': '[0-9]+'},
precedence=(('nonassoc','='),('left','+','-'),('left','*','/')))
ls_right = build_ls(ebnf_grammar=grammar, start='S', ignore=' \t\n',
tokens={'id': '[a-zA-Z][a-zA-Z0-9_]*',
'int': '[0-9]+'},
precedence=(('nonassoc','='),('right','+','-'),('left','*','/')))
print("==== without priority")
input_string = "A + B * C"
result = parser(ls_default, input_string)
print(input_string,"=>")
pprint(result)
assert(result == ('S', ('E', ('E', ('id', 'A')), ('+', '+'), ('E', ('E', ('id', 'B')), ('*', '*'), ('E', ('id', 'C'))))))
input_string = "A * B + C"
result = parser(ls_default, input_string)
print(input_string,"=>")
pprint(result)
assert(result == ('S', ('E', ('E', ('id', 'A')), ('*', '*'), ('E', ('E', ('id', 'B')), ('+', '+'), ('E', ('id', 'C'))))))
print("==== with priority")
input_string = "A + B * C"
result = parser(ls_left, input_string)
print(input_string,"=>")
pprint(result)
assert(result == ('S', ('E', ('E', ('id', 'A')), ('+', '+'), ('E', ('E', ('id', 'B')), ('*', '*'), ('E', ('id', 'C'))))))
input_string = "A * B + C"
result = parser(ls_left, input_string)
print(input_string,"=>")
pprint(result)
assert(result == ('S', ('E', ('E', ('E', ('id', 'A')), ('*', '*'), ('E', ('id', 'B'))), ('+', '+'), ('E', ('id', 'C')))))
print("==== left associativity")
input_string = "A + B + C"
result = parser(ls_left, input_string)
print(input_string,"=>")
pprint(result)
assert(result == ('S', ('E', ('E', ('E', ('id', 'A')), ('+', '+'), ('E', ('id', 'B'))), ('+', '+'), ('E', ('id', 'C')))))
print("==== right associativity")
input_string = "A + B + C"
result = parser(ls_right, input_string)
print(input_string,"=>")
pprint(result)
assert(result == ('S', ('E', ('E', ('id', 'A')), ('+', '+'), ('E', ('E', ('id', 'B')), ('+', '+'), ('E', ('id', 'C'))))))
print("==== non-associativity")
input_string = "A = B = C"
print(input_string,"=>")
try:
result = parser(ls_right, input_string)
except ParserSyntaxError as e:
print(e)
pass
else:
assert(False)
| 30.826087
| 121
| 0.48237
| 366
| 2,836
| 3.601093
| 0.174863
| 0.042489
| 0.038695
| 0.042489
| 0.757208
| 0.757208
| 0.710167
| 0.710167
| 0.676024
| 0.622914
| 0
| 0.005238
| 0.192172
| 2,836
| 91
| 122
| 31.164835
| 0.570057
| 0.007052
| 0
| 0.471429
| 0
| 0
| 0.220604
| 0.02238
| 0.028571
| 0
| 0
| 0
| 0.1
| 1
| 0
| false
| 0.014286
| 0.057143
| 0
| 0.057143
| 0.3
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4a3832f78da831d5b49d9468a2ae18e5fa4651ed
| 90
|
py
|
Python
|
beer_api/apps.py
|
Nick-exe/beer-rest-api
|
76730bef9ede87da215650ff0720c86a7cac1ad2
|
[
"MIT"
] | null | null | null |
beer_api/apps.py
|
Nick-exe/beer-rest-api
|
76730bef9ede87da215650ff0720c86a7cac1ad2
|
[
"MIT"
] | 6
|
2020-06-06T01:35:26.000Z
|
2021-06-10T19:57:00.000Z
|
beer_api/apps.py
|
Nick-exe/beer-rest-api
|
76730bef9ede87da215650ff0720c86a7cac1ad2
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class BeerApiConfig(AppConfig):
name = 'beer_api'
| 15
| 33
| 0.755556
| 11
| 90
| 6.090909
| 0.909091
| 0
| 0
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| 0
| 0
| 0.166667
| 90
| 5
| 34
| 18
| 0.893333
| 0
| 0
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| 0.088889
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| 0
| false
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| 0.333333
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| 1
| 0
| 1
| 0
|
0
| 4
|
4a43939ea3ad95db66a8a28555b4c0b5789638dd
| 2,085
|
py
|
Python
|
wrappers/python/tests/crypto/test_unpack_message.py
|
absltkaos/indy-sdk
|
bc14c5b514dc1c76ce62dd7f6bf804120bf69f5e
|
[
"Apache-2.0"
] | 636
|
2017-05-25T07:45:43.000Z
|
2022-03-23T22:30:34.000Z
|
wrappers/python/tests/crypto/test_unpack_message.py
|
Nick-1979/indy-sdk
|
e5f812e14962f0d51cf96f843033754ff841ce30
|
[
"Apache-2.0"
] | 731
|
2017-05-29T07:15:08.000Z
|
2022-03-31T07:55:58.000Z
|
wrappers/python/tests/crypto/test_unpack_message.py
|
Nick-1979/indy-sdk
|
e5f812e14962f0d51cf96f843033754ff841ce30
|
[
"Apache-2.0"
] | 904
|
2017-05-25T07:45:49.000Z
|
2022-03-31T07:43:31.000Z
|
import json
import pytest
from indy import crypto, error
@pytest.mark.asyncio
async def test_pack_message_and_unpack_message_authcrypt_works(wallet_handle, identity_my1, identity_steward1,
pack_message):
# setup keys
_, sender_vk = identity_my1
_, steward_vk = identity_steward1
recipient_verkeys = [steward_vk]
# run pack and unpack
packed_message = await crypto.pack_message(wallet_handle, pack_message, recipient_verkeys, sender_vk)
unpacked_message = await crypto.unpack_message(wallet_handle, packed_message)
# test function
unpacked_message_json = json.loads(unpacked_message.decode("utf-8"))
assert unpacked_message_json['message'] == pack_message
assert unpacked_message_json['recipient_verkey'] == steward_vk
assert unpacked_message_json['sender_verkey'] == sender_vk
@pytest.mark.asyncio
async def test_pack_message_and_unpack_message_anoncrypt_works(wallet_handle, identity_steward1, pack_message):
# setup keys
_, steward_vk = identity_steward1
recipient_verkeys = [steward_vk]
# run pack and unpack
packed_message = await crypto.pack_message(wallet_handle, pack_message, recipient_verkeys, None)
unpacked_message = await crypto.unpack_message(wallet_handle, packed_message)
# test function
unpacked_message_json = json.loads(unpacked_message.decode("utf-8"))
assert unpacked_message_json['message'] == pack_message
assert unpacked_message_json['recipient_verkey'] == steward_vk
assert 'sender_verkey' not in unpacked_message_json
@pytest.mark.asyncio
async def test_pack_message_and_unpack_message_missing_verkey(wallet_handle, identity_my1, verkey_my2, pack_message):
# setup keys
_, sender_vk = identity_my1
recipient_verkeys = [verkey_my2]
# run pack and unpack
packed_message = await crypto.pack_message(wallet_handle, pack_message, recipient_verkeys, sender_vk)
with pytest.raises(error.WalletItemNotFound):
await crypto.unpack_message(wallet_handle, packed_message)
| 38.611111
| 117
| 0.76259
| 260
| 2,085
| 5.711538
| 0.192308
| 0.103704
| 0.102357
| 0.084175
| 0.799327
| 0.799327
| 0.76431
| 0.76431
| 0.678788
| 0.678788
| 0
| 0.00692
| 0.168345
| 2,085
| 53
| 118
| 39.339623
| 0.849481
| 0.057554
| 0
| 0.59375
| 0
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| 0.041922
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 1
| 0
| false
| 0
| 0.09375
| 0
| 0.09375
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| null | 0
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| 1
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4a44c722a2d9dc07fb7bb3e686e43c59564dfd55
| 194
|
py
|
Python
|
workout_tracker/equipment/models.py
|
e-dang/Workout-Tracker
|
00a27597ea628cff62b320d616f56b2df4f344a0
|
[
"MIT"
] | null | null | null |
workout_tracker/equipment/models.py
|
e-dang/Workout-Tracker
|
00a27597ea628cff62b320d616f56b2df4f344a0
|
[
"MIT"
] | null | null | null |
workout_tracker/equipment/models.py
|
e-dang/Workout-Tracker
|
00a27597ea628cff62b320d616f56b2df4f344a0
|
[
"MIT"
] | null | null | null |
from core.models import OwnedMultiAliasResource
class Equipment(OwnedMultiAliasResource):
class Meta:
unique_together = ['name', 'owner']
verbose_name_plural = 'equipment'
| 24.25
| 47
| 0.726804
| 18
| 194
| 7.666667
| 0.777778
| 0.405797
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190722
| 194
| 7
| 48
| 27.714286
| 0.878981
| 0
| 0
| 0
| 0
| 0
| 0.092784
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
4a6a5e8d5acee269ce4be1c41aeeb9fcc0a93c95
| 268
|
py
|
Python
|
sphinxcontrib/test_reports/directives/__init__.py
|
bbognar1992/sphinx-test-reports
|
424543ba5ad7776f37ad8de852826ff3bc558f65
|
[
"MIT"
] | 12
|
2019-04-06T14:12:06.000Z
|
2021-11-04T21:10:03.000Z
|
sphinxcontrib/test_reports/directives/__init__.py
|
bbognar1992/sphinx-test-reports
|
424543ba5ad7776f37ad8de852826ff3bc558f65
|
[
"MIT"
] | 20
|
2018-11-16T09:56:27.000Z
|
2022-02-04T22:07:43.000Z
|
sphinxcontrib/test_reports/directives/__init__.py
|
bbognar1992/sphinx-test-reports
|
424543ba5ad7776f37ad8de852826ff3bc558f65
|
[
"MIT"
] | 7
|
2018-11-23T14:13:40.000Z
|
2021-12-16T14:44:43.000Z
|
# from .test_case import TestCase, TestCaseDirective
# from .test_common import TestCommonDirective
# from .test_file import TestFile, TestFileDirective
# from .test_report import TestReport, TestReportDirective
# from .test_suite import TestSuite, TestSuiteDirective
| 44.666667
| 58
| 0.839552
| 29
| 268
| 7.586207
| 0.586207
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108209
| 268
| 5
| 59
| 53.6
| 0.920502
| 0.958955
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4a6b49afac53fc3a53b3f2be64f43253d92f88aa
| 174
|
py
|
Python
|
llvmpy/src/LLVMContext.py
|
pfalcon/llvmpy
|
2338eae5f6a91651125b8180abafa8c9afaa90d8
|
[
"BSD-3-Clause"
] | 1
|
2017-02-12T19:34:14.000Z
|
2017-02-12T19:34:14.000Z
|
llvmpy/src/LLVMContext.py
|
pfalcon/llvmpy
|
2338eae5f6a91651125b8180abafa8c9afaa90d8
|
[
"BSD-3-Clause"
] | null | null | null |
llvmpy/src/LLVMContext.py
|
pfalcon/llvmpy
|
2338eae5f6a91651125b8180abafa8c9afaa90d8
|
[
"BSD-3-Clause"
] | null | null | null |
from binding import *
from .namespace import llvm
@llvm.Class()
class LLVMContext:
_include_ = "llvm/LLVMContext.h"
llvm.Function('getGlobalContext', ref(LLVMContext))
| 19.333333
| 51
| 0.758621
| 20
| 174
| 6.5
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126437
| 174
| 8
| 52
| 21.75
| 0.855263
| 0
| 0
| 0
| 0
| 0
| 0.195402
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
4a70b5df642d9b11db2eda2bf60d6a212910c317
| 60
|
py
|
Python
|
src/readers/__init__.py
|
DSSerialGeneva/cd15c0un7
|
93bc45854c5c58802c5ec69613a9253b7f927cb9
|
[
"Apache-2.0"
] | null | null | null |
src/readers/__init__.py
|
DSSerialGeneva/cd15c0un7
|
93bc45854c5c58802c5ec69613a9253b7f927cb9
|
[
"Apache-2.0"
] | null | null | null |
src/readers/__init__.py
|
DSSerialGeneva/cd15c0un7
|
93bc45854c5c58802c5ec69613a9253b7f927cb9
|
[
"Apache-2.0"
] | null | null | null |
from src.readers.simple_BSON_reader import SimpleBSONReader
| 30
| 59
| 0.9
| 8
| 60
| 6.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 60
| 1
| 60
| 60
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
4a72436342bc6b01fe8bcaf3c2d9b3c5738bdc49
| 11,286
|
py
|
Python
|
tests/handlers/v2/test_user.py
|
homebysix/consoleme
|
ff800dd154c4a2be30ff7350f58d92ea4c8446d0
|
[
"Apache-2.0"
] | 3
|
2021-08-15T01:19:24.000Z
|
2022-01-16T22:57:08.000Z
|
tests/handlers/v2/test_user.py
|
homebysix/consoleme
|
ff800dd154c4a2be30ff7350f58d92ea4c8446d0
|
[
"Apache-2.0"
] | 3
|
2021-09-08T03:07:37.000Z
|
2022-03-12T00:57:18.000Z
|
tests/handlers/v2/test_user.py
|
homebysix/consoleme
|
ff800dd154c4a2be30ff7350f58d92ea4c8446d0
|
[
"Apache-2.0"
] | 1
|
2021-06-02T16:53:05.000Z
|
2021-06-02T16:53:05.000Z
|
import json
from asgiref.sync import async_to_sync
from tornado.testing import AsyncHTTPTestCase
class TestUserRegistrationApi(AsyncHTTPTestCase):
def get_app(self):
from consoleme.config import config
config.CONFIG.config["auth"]["get_user_by_password"] = True
config.CONFIG.config["auth"]["allow_user_registration"] = True
from consoleme.routes import make_app
return make_app(jwt_validator=lambda x: {})
def tearDown(self) -> None:
from consoleme.config import config
config.CONFIG.config["auth"]["get_user_by_password"] = False
config.CONFIG.config["auth"]["allow_user_registration"] = False
def test_register_user(self):
body = json.dumps(
{
"username": "testuser5",
"password": "testuser5password",
}
)
response = self.fetch("/api/v2/user_registration", method="POST", body=body)
self.assertEqual(response.code, 403)
self.assertEqual(
json.loads(response.body),
{
"status": "error",
"reason": "invalid_request",
"redirect_url": None,
"status_code": 403,
"message": None,
"errors": [
"The email address is not valid. It must have exactly one @-sign."
],
"data": None,
},
)
body = json.dumps(
{
"username": "testuser5@example.com",
"password": "testuser5password",
}
)
response = self.fetch("/api/v2/user_registration", method="POST", body=body)
self.assertEqual(response.code, 200)
self.assertEqual(
json.loads(response.body),
{
"status": "success",
"reason": None,
"redirect_url": None,
"status_code": 200,
"message": "Successfully created user testuser5@example.com.",
"errors": None,
"data": None,
},
)
class TestLoginApi(AsyncHTTPTestCase):
def get_app(self):
from consoleme.config import config
config.CONFIG.config["auth"]["get_user_by_password"] = True
config.CONFIG.config["auth"]["set_auth_cookie"] = True
from consoleme.routes import make_app
return make_app(jwt_validator=lambda x: {})
def tearDown(self) -> None:
from consoleme.config import config
config.CONFIG.config["auth"]["get_user_by_password"] = False
config.CONFIG.config["auth"]["set_auth_cookie"] = False
def test_login_post_no_user(self):
body = json.dumps(
{"username": "fakeuser", "password": "pass", "after_redirect_uri": "/"}
)
response = self.fetch("/api/v2/login", method="POST", body=body)
self.assertEqual(response.code, 403)
self.assertEqual(
json.loads(response.body),
{
"status": "error",
"reason": "authentication_failure",
"redirect_url": None,
"status_code": 403,
"message": None,
"errors": [
"User doesn't exist, or password is incorrect. ",
"Your next authentication failure will result in a 1 second wait. This wait time will expire after 60 seconds of no authentication failures.",
],
"data": None,
},
)
def test_login_post_invalid_password(self):
from consoleme.lib.dynamo import UserDynamoHandler
ddb = UserDynamoHandler()
ddb.create_user("testuser", "correctpassword", ["group1", "group2@example.com"])
body = json.dumps(
{"username": "testuser", "password": "wrongpass", "after_redirect_uri": "/"}
)
response = self.fetch("/api/v2/login", method="POST", body=body)
self.assertEqual(response.code, 403)
self.assertEqual(
json.loads(response.body),
{
"status": "error",
"reason": "authentication_failure",
"redirect_url": None,
"status_code": 403,
"message": None,
"errors": [
"User doesn't exist, or password is incorrect. ",
"Your next authentication failure will result in a 1 second wait. This wait time will expire after 60 seconds of no authentication failures.",
],
"data": None,
},
)
def test_login_post_success(self):
from consoleme.lib.dynamo import UserDynamoHandler
ddb = UserDynamoHandler()
ddb.create_user(
"testuser2", "correctpassword", ["group1", "group2@example.com"]
)
body = json.dumps(
{
"username": "testuser2",
"password": "correctpassword",
"after_redirect_uri": "/",
}
)
response = self.fetch("/api/v2/login", method="POST", body=body)
self.assertEqual(response.code, 200)
self.assertEqual(
json.loads(response.body),
{
"status": "redirect",
"reason": "authenticated_redirect",
"redirect_url": "/",
"status_code": 200,
"message": "User has successfully authenticated. Redirecting to their intended destination.",
"errors": None,
"data": None,
},
)
class TestUserApi(AsyncHTTPTestCase):
def get_app(self):
from consoleme.routes import make_app
return make_app(jwt_validator=lambda x: {})
def test_create_user(self):
from consoleme.config import config
headers = {
config.get("auth.user_header_name"): "consoleme_admins@example.com",
config.get("auth.groups_header_name"): "groupa,groupb,groupc",
}
body = json.dumps(
{
"user_management_action": "create",
"username": "testuser3",
"password": "testuser3password",
"groups": ["group1", "group2", "group3"],
}
)
response = self.fetch("/api/v2/user", headers=headers, method="POST", body=body)
self.assertEqual(response.code, 200)
self.assertEqual(
json.loads(response.body),
{
"status": "success",
"reason": None,
"redirect_url": None,
"status_code": 200,
"message": "Successfully created user testuser3.",
"errors": None,
"data": None,
},
)
# Verify new user works
from consoleme.lib.dynamo import UserDynamoHandler
from consoleme.models import LoginAttemptModel
ddb = UserDynamoHandler()
login_attempt_success = LoginAttemptModel(
username="testuser3", password="testuser3password"
)
should_pass = async_to_sync(ddb.authenticate_user)(login_attempt_success)
self.assertEqual(
should_pass.dict(),
{
"authenticated": True,
"errors": None,
"username": "testuser3",
"groups": ["group1", "group2", "group3"],
},
)
login_attempt_fail = LoginAttemptModel(
username="testuser3", password="wrongpassword"
)
should_fail = async_to_sync(ddb.authenticate_user)(login_attempt_fail)
self.assertEqual(
should_fail.dict(),
{
"authenticated": False,
"errors": [
"User doesn't exist, or password is incorrect. ",
"Your next authentication failure will result in a 1 second wait. "
"This wait time will expire after 60 seconds of no authentication failures.",
],
"username": None,
"groups": None,
},
)
# Update password
body = json.dumps(
{
"user_management_action": "update",
"username": "testuser3",
"password": "testuser3newpassword",
}
)
response = self.fetch("/api/v2/user", headers=headers, method="POST", body=body)
self.assertEqual(response.code, 200)
self.assertEqual(
json.loads(response.body),
{
"status": "success",
"reason": None,
"redirect_url": None,
"status_code": 200,
"message": "Successfully updated user testuser3.",
"errors": None,
"data": None,
},
)
# Update groups
body = json.dumps(
{
"user_management_action": "update",
"username": "testuser3",
"groups": ["group1", "group2", "group3", "newgroup"],
}
)
response = self.fetch("/api/v2/user", headers=headers, method="POST", body=body)
self.assertEqual(response.code, 200)
self.assertEqual(
json.loads(response.body),
{
"status": "success",
"reason": None,
"redirect_url": None,
"status_code": 200,
"message": "Successfully updated user testuser3.",
"errors": None,
"data": None,
},
)
# Update groups and password AT THE SAME TIME!!1
body = json.dumps(
{
"user_management_action": "update",
"username": "testuser3",
"password": "testuser3newpassword2",
"groups": ["group1", "group2", "group3", "newgroup", "newgroup2"],
}
)
response = self.fetch("/api/v2/user", headers=headers, method="POST", body=body)
self.assertEqual(response.code, 200)
self.assertEqual(
json.loads(response.body),
{
"status": "success",
"reason": None,
"redirect_url": None,
"status_code": 200,
"message": "Successfully updated user testuser3.",
"errors": None,
"data": None,
},
)
# Delete the user
body = json.dumps(
{
"user_management_action": "delete",
"username": "testuser3",
}
)
response = self.fetch("/api/v2/user", headers=headers, method="POST", body=body)
self.assertEqual(response.code, 200)
self.assertEqual(
json.loads(response.body),
{
"status": "success",
"reason": None,
"redirect_url": None,
"status_code": 200,
"message": "Successfully deleted user testuser3.",
"errors": None,
"data": None,
},
)
| 34.096677
| 162
| 0.509835
| 984
| 11,286
| 5.729675
| 0.167683
| 0.058531
| 0.038311
| 0.035474
| 0.780596
| 0.758425
| 0.700426
| 0.683044
| 0.668145
| 0.629656
| 0
| 0.017258
| 0.373649
| 11,286
| 330
| 163
| 34.2
| 0.780308
| 0.010101
| 0
| 0.567474
| 0
| 0.00692
| 0.264732
| 0.036539
| 0
| 0
| 0
| 0
| 0.076125
| 1
| 0.034602
| false
| 0.076125
| 0.051903
| 0
| 0.107266
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
4a78aff4ce5a6c1aa730736f01a6ce147f72ed97
| 165
|
py
|
Python
|
tests/conftest.py
|
genejiang2012/DataFactory
|
2b92b820ec8483e46b77575deb49e2b036826af9
|
[
"Apache-2.0"
] | null | null | null |
tests/conftest.py
|
genejiang2012/DataFactory
|
2b92b820ec8483e46b77575deb49e2b036826af9
|
[
"Apache-2.0"
] | null | null | null |
tests/conftest.py
|
genejiang2012/DataFactory
|
2b92b820ec8483e46b77575deb49e2b036826af9
|
[
"Apache-2.0"
] | null | null | null |
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2022/2/9 22:13
# @Author : Gene Jiang
# @File : conftest.py.py
# @Description:
import pytest
| 11.785714
| 27
| 0.569697
| 23
| 165
| 4.086957
| 0.956522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.096
| 0.242424
| 165
| 13
| 28
| 12.692308
| 0.656
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
4a8d9187ba86a2213e29150eb48668516b999cb1
| 68
|
py
|
Python
|
app/initial_setup.py
|
TerenceFox/itemcatalog
|
88621ea3e0383d9b43fe9341fa355b3f4928ead4
|
[
"MIT"
] | null | null | null |
app/initial_setup.py
|
TerenceFox/itemcatalog
|
88621ea3e0383d9b43fe9341fa355b3f4928ead4
|
[
"MIT"
] | null | null | null |
app/initial_setup.py
|
TerenceFox/itemcatalog
|
88621ea3e0383d9b43fe9341fa355b3f4928ead4
|
[
"MIT"
] | null | null | null |
#!venv/bin/python
import os
os.environ["FLASK_APP"] = "catalog.py"
| 13.6
| 38
| 0.705882
| 11
| 68
| 4.272727
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102941
| 68
| 4
| 39
| 17
| 0.770492
| 0.235294
| 0
| 0
| 0
| 0
| 0.372549
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
4aa9683bd2243777d742470e1f50ee5ac7299a54
| 129
|
py
|
Python
|
datadoglog/__init__.py
|
gadventures/datadoglog
|
0752eab4919f3ebe2ef5bc3e734c58ad097bbca0
|
[
"Apache-2.0"
] | 1
|
2018-12-31T15:05:54.000Z
|
2018-12-31T15:05:54.000Z
|
datadoglog/__init__.py
|
gadventures/datadoglog
|
0752eab4919f3ebe2ef5bc3e734c58ad097bbca0
|
[
"Apache-2.0"
] | null | null | null |
datadoglog/__init__.py
|
gadventures/datadoglog
|
0752eab4919f3ebe2ef5bc3e734c58ad097bbca0
|
[
"Apache-2.0"
] | 1
|
2019-01-23T15:18:07.000Z
|
2019-01-23T15:18:07.000Z
|
from .formatters import FormatFactory
from .handlers import start_logger
__all__ = [
'FormatFactory',
'start_logger',
]
| 16.125
| 37
| 0.736434
| 13
| 129
| 6.846154
| 0.615385
| 0.247191
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178295
| 129
| 7
| 38
| 18.428571
| 0.839623
| 0
| 0
| 0
| 0
| 0
| 0.193798
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
4aace43d92496e3278bb50b208de2c27ef130b14
| 319
|
py
|
Python
|
python/commandline.py
|
gamergames123/EmailMessaging
|
990f672e8ab51dcb75226016ea053aca315fc359
|
[
"MIT"
] | 2
|
2017-07-24T15:52:03.000Z
|
2017-10-16T14:12:35.000Z
|
python/commandline.py
|
gamergames123/EmailMessaging
|
990f672e8ab51dcb75226016ea053aca315fc359
|
[
"MIT"
] | null | null | null |
python/commandline.py
|
gamergames123/EmailMessaging
|
990f672e8ab51dcb75226016ea053aca315fc359
|
[
"MIT"
] | null | null | null |
import sys
from main import sendMail
if __name__ == '__main__':
if len(sys.argv) == 6:
sendMail(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4], sys.argv[5])
print("Email Message Sent Successfully!")
else:
print("Usage: python commandline.py [subject] [body] [from] [to] [password]")
| 35.444444
| 85
| 0.630094
| 46
| 319
| 4.195652
| 0.630435
| 0.217617
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023529
| 0.200627
| 319
| 9
| 85
| 35.444444
| 0.733333
| 0
| 0
| 0
| 0
| 0.125
| 0.3375
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.125
| 0.25
| 0
| 0.25
| 0.25
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
4ac37f8b8df25dae5ed2a4a712ada604b6356ba8
| 16,441
|
py
|
Python
|
unit_tests/web_tests/test_web_setting.py
|
hep-gc/cloud-scheduler-2
|
180d9dc4f8751cf8c8254518e46f83f118187e84
|
[
"Apache-2.0"
] | null | null | null |
unit_tests/web_tests/test_web_setting.py
|
hep-gc/cloud-scheduler-2
|
180d9dc4f8751cf8c8254518e46f83f118187e84
|
[
"Apache-2.0"
] | null | null | null |
unit_tests/web_tests/test_web_setting.py
|
hep-gc/cloud-scheduler-2
|
180d9dc4f8751cf8c8254518e46f83f118187e84
|
[
"Apache-2.0"
] | null | null | null |
if __name__ == "__main__" or __name__ == "test_web_setting":
__package__ = 'cloudscheduler.unit_tests.web_tests'
import unittest
import sys
from . import web_test_setup_cleanup as wtsc
from . import web_test_assertions_v2 as wta
from . import web_test_page_objects as pages
from . import web_test_helpers as helpers
class TestWebSettingCommon(unittest.TestCase):
"""A class for the user settings tests that should be repeated in all iterations."""
@classmethod
def setUpClass(cls):
cls.page = pages.SettingsPage(cls.driver, cls.gvar['address'])
cls.status_page = pages.StatusPage(cls.driver, cls.gvar['address'])
cls.oversize = cls.gvar['oversize']
def setUp(self):
self.page.get_homepage()
self.page.click_top_nav('User Settings')
def test_web_setting_find(self):
# Finds the settings page
pass
def test_web_setting_update_password(self):
# Updates the current user's password
password = self.gvar['user'] + '-Password123'
self.page.click_side_button(self.user)
self.page.type_password(password)
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
self.page.get_homepage_login(self.user, password)
self.page.click_top_nav_with_login('User Settings', self.user, password)
self.page.type_password(self.gvar['user_secret'])
self.page.click_update_user()
self.page.get_homepage_login(self.user, self.gvar['user_secret'])
self.page.click_top_nav_with_login('User Settings', self.user, self.gvar['user_secret'])
def test_web_setting_update_password_mismatched(self):
# Tries to update the current user's password with mismatched passwords
self.page.click_side_button(self.user)
self.page.type_password(self.gvar['user'] + '-password1', self.gvar['user'] + '-password2')
self.page.click_update_user()
#self.assertTrue(self.page.error_message_displayed())
def test_web_setting_update_password_too_short(self):
# Tries to update the current user's password to one that's too short
self.page.click_side_button(self.user)
self.page.type_password('Aa1')
self.page.click_update_user()
#self.assertTrue(self.page.error_message_displayed())
def test_web_setting_update_password_without_uppercase(self):
# Tries to update the current user's password to one without uppercase letters
self.page.click_side_button(self.user)
self.page.type_password('abcd1234')
self.page.click_update_user()
#self.assertTrue(self.page.error_message_displayed())
def test_web_setting_update_password_without_lowercase(self):
# Tries to update the current user's password to one without lowercase letters
self.page.click_side_button(self.user)
self.page.type_password('ABCD1234')
self.page.click_update_user()
#self.assertTrue(self.page.error_message_displayed())
def test_web_setting_update_password_without_numbers(self):
self.page.click_side_button(self.user)
self.page.type_password('ABCDabcd')
self.page.click_update_user()
#self.assertTrue(self.page.error_message_displayed())
def test_web_setting_update_global_view_on_status_page(self):
# Update's the current user's "enabled global view on status page" setting
self.page.click_side_button(self.user)
self.page.click_global_view_checkbox()
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
wta.assertHasAttribute('settings', self.user, 'flag_global_status', '1', settings=True, server=self.server)
self.page.click_top_nav('Status')
self.assertTrue(self.status_page.job_group_exists(self.gvar['user'] + '-wig0'))
self.assertTrue(self.status_page.job_group_exists(self.global_group))
def test_web_setting_update_jobs_by_target_alias_on_status_page(self):
# Updates the current user's "enabled jobs by target alias on status page" setting
self.page.click_side_button(self.user)
self.page.click_jobs_by_alias_checkbox()
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
wta.assertHasAttribute('settings', self.user, 'flag_jobs_by_target_alias', '1', settings=True, server=self.server)
self.page.click_top_nav('Status')
self.assertTrue(self.status_page.aliases_displayed())
def test_web_setting_update_foreign_global_vm_on_status_page(self):
# Updates the current user's "enabled foreign/global VM information on status page" setting
self.page.click_side_button(self.user)
self.page.click_foreign_global_vms_checkbox()
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
wta.assertHasAttribute('settings', self.user, 'flag_show_foreign_global_vms', '1', settings=True, server=self.server)
self.page.click_top_nav('Status')
self.assertTrue(self.status_page.foreign_global_vms_visible())
def test_web_setting_update_slot_detail_on_status_page(self):
# Updates the current user's "enabled slot detail on status page" setting
self.page.click_side_button(self.user)
self.page.click_slot_detail_checkbox()
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
wta.assertHasAttribute('settings', self.user, 'flag_show_slot_detail', '0', settings=True, server=self.server)
def test_web_setting_update_slot_flavor_info_on_status_page(self):
# Updates the current user's "enabled slot flavor info on status page" setting
self.page.click_side_button(self.user)
self.page.click_slot_flavor_info_checkbox()
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
wta.assertHasAttribute('settings', self.user, 'flag_show_slot_flavors', '0', settings=True, server=self.server)
def test_web_setting_update_status_refresh_interval_by_blank(self):
# Updates the current user's status page refresh interval by typing it in the blank
self.page.click_side_button(self.user)
self.page.type_status_refresh('20')
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
wta.assertHasAttribute('settings', self.user, 'status_refresh_interval', '20', settings=True, server=self.server)
def test_web_setting_update_status_refresh_interval_by_blank_float(self):
# Tries to update the current user's status page refresh interval to a float by typing it in the blank
self.page.click_side_button(self.user)
self.page.type_status_refresh('30.5')
self.page.click_update_user()
#self.assertTrue(self.page.error_message_displayed())
self.assertTrue(self.page.status_refresh_popup_exists())
wta.assertHasNotAttribute('settings', self.user, 'status_refresh_interval', '30.5', settings=True, server=self.server)
def test_web_setting_update_status_refresh_interval_by_blank_string(self):
# Tries to update the current user's status page refresh interval to a string by typing it in the blank
self.page.click_side_button(self.user)
self.page.type_status_refresh('invalid-web-test')
self.page.click_update_user()
#self.assertTrue(self.page.error_message_displayed())
self.assertTrue(self.page.status_refresh_popup_exists())
wta.assertHasNotAttribute('settings', self.user, 'status_refresh_interval', 'invalid-web-test', settings=True, server=self.server)
def test_web_setting_update_status_refresh_interval_by_blank_too_big(self):
# Tries to update the current user's status page refresh interval to an int that's too big for the database by typing it in the blank
self.page.click_side_button(self.user)
self.page.type_status_refresh(str(self.oversize['int_11']))
self.page.click_update_user()
#self.assertTrue(self.page.error_message_displayed())
#self.assertTrue(self.page.status_refresh_popup_exists())
wta.assertHasNotAttribute('settings', self.user, 'status_refresh_interval', str(self.oversize['int_11']), settings=True, server=self.server)
def test_web_setting_update_status_refresh_interval_by_arrow_keys(self):
# Updates the current user's status page refresh interval using the arrow keys
self.page.click_side_button(self.user)
self.page.increment_status_refresh_by_arrows(40)
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
wta.assertHasAttribute('settings', self.user, 'status_refresh_interval', '40', settings=True, server=self.server)
@unittest.skip("Probably takes too long to be worth running")
def test_web_setting_update_status_refresh_interval_by_arrow_keys_too_big(self):
# Updates the current user's status page refresh interval to an int that's too long for the database using the arrow keys
self.page.click_side_button(self.user)
self.page.increment_status_refresh_by_arrows(self.oversize['int_11'])
self.page.click_update_user()
self.assertTrue(self.page.error_message_displayed())
wta.assertHasNotAttribute('settings', self.user, 'status_refresh_interval', str(self.oversize['int_11']), settings=True, server=self.server)
def test_web_setting_update_default_group(self):
# Updates the current user's default group
self.page.click_side_button(self.user)
self.page.select_default_group(self.global_group)
self.page.click_update_user()
self.assertFalse(self.page.error_message_displayed())
wta.assertHasAttribute('settings', self.user, 'default_group', self.global_group, settings=True, server=self.server)
@classmethod
def tearDownClass(cls):
wtsc.cleanup(cls)
class TestWebSettingSuperUserFirefox(TestWebSettingCommon):
"""A class to test user settings operations via the web interface, in Firefox, with a super user."""
@classmethod
def setUpClass(cls):
try:
wtsc.setup(cls, 2, ['settings', 'servers'], browser='firefox')
super(TestWebSettingSuperUserFirefox, cls).setUpClass()
cls.server = cls.gvar['user'] + '-wis2'
cls.user = cls.gvar['user'] + '-wiu2'
cls.global_group = cls.gvar['user'] + '-wig2'
print("\nUser Settings Tests (Super User):")
except:
print("Error in test setup")
super(TestWebSettingSuperUserFirefox, cls).tearDownClass()
raise
class TestWebSettingRegularUserFirefox(TestWebSettingCommon):
"""A class to test user settings operations via the web interface, in Firefox, with a regular user."""
@classmethod
def setUpClass(cls):
try:
wtsc.setup(cls, 1, ['settings', 'servers'], browser='firefox')
super(TestWebSettingRegularUserFirefox, cls).setUpClass()
cls.server = cls.gvar['user'] + '-wis1'
cls.user = cls.gvar['user'] + '-wiu1'
cls.global_group = cls.gvar['user'] + '-wig1'
print("\nUser Settings Tests (Regular User):")
except:
print("Error in test setup")
super(TestWebSettingRegularUserFirefox, cls).tearDownClass()
raise
class TestWebSettingSuperUserChromium(TestWebSettingCommon):
"""A class to test user settings operations via the web interface, in Chromium, with a super user."""
@classmethod
def setUpClass(cls):
try:
wtsc.setup(cls, 2, ['settings', 'servers'], browser='chromium')
super(TestWebSettingSuperUserChromium, cls).setUpClass()
cls.server = cls.gvar['user'] + '-wis2'
cls.user = cls.gvar['user'] + '-wiu2'
cls.global_group = cls.gvar['user'] + '-wig2'
print("\nUser Settings Tests (Chromium) (Super User):")
except:
print("Error in test setup")
super(TestWebSettingSuperUserChromium, cls).tearDownClass()
raise
class TestWebSettingRegularUserChromium(TestWebSettingCommon):
"""A class to test user settings operations via the web interface, in Chromium, with a regular user."""
@classmethod
def setUpClass(cls):
try:
wtsc.setup(cls, 1, ['settings', 'servers'], browser='chromium')
super(TestWebSettingRegularUserChromium, cls).setUpClass()
cls.server = cls.gvar['user'] + '-wis1'
cls.user = cls.gvar['user'] + '-wiu1'
cls.global_group = cls.gvar['user'] + '-wig1'
print("\nUser Settings Tests (Chromium) (Regular User):")
except:
print("Error in test setup")
super(TestWebSettingRegularUserChromium, cls).tearDownClass()
raise
class TestWebSettingSuperUserOpera(TestWebSettingCommon):
"""A class to test user settings operations via the web interface, in Opera, with a super user."""
@classmethod
def setUpClass(cls):
try:
wtsc.setup(cls, 2, ['settings', 'servers'], browser='opera')
super(TestWebSettingSuperUserOpera, cls).setUpClass()
cls.server = cls.gvar['user'] + '-wis2'
cls.user = cls.gvar['user'] + '-wiu2'
cls.global_group = cls.gvar['user'] + '-wig2'
print("\nUser Settings Tests (Opera) (Super User):")
except:
print("Error in test setup")
super(TestWebSettingSuperUserOpera, cls).tearDownClass()
raise
class TestWebSettingRegularUserOpera(TestWebSettingCommon):
"""A class to test user settings operations via the web interface, in Opera, with a regular user."""
@classmethod
def setUpClass(cls):
try:
wtsc.setup(cls, 1, ['settings', 'servers'], browser='opera')
super(TestWebSettingRegularUserOpera, cls).setUpClass()
cls.server = cls.gvar['user'] + '-wis1'
cls.user = cls.gvar['user'] + '-wiu1'
cls.global_group = cls.gvar['user'] + '-wig1'
print("\nUser Settings Tests (Opera) (Regular User):")
except:
print("Error in test setup")
super(TestWebSettingRegularUserOpera, cls).tearDownClass()
raise
class TestWebSettingSuperUserChrome(TestWebSettingCommon):
"""A class to test user settings operations via the web interface, in Chrome, with a super user."""
@classmethod
def setUpClass(cls):
try:
wtsc.setup(cls, 2, ['settings', 'servers'], browser='chrome')
super(TestWebSettingSuperUserChrome, cls).setUpClass()
cls.server = cls.gvar['user'] + '-wis2'
cls.user = cls.gvar['user'] + '-wiu2'
cls.global_group = cls.gvar['user'] + '-wig2'
print("\nUser Settings Tests (Chrome) (Super User):")
except:
print("Error in test setup")
super(TestWebSettingSuperUserChrome, cls).tearDownClass()
raise
class TestWebSettingRegularUserChrome(TestWebSettingCommon):
"""A class to test user settings operations via the web interface, in Chrome, with a regular user."""
@classmethod
def setUpClass(cls):
try:
wtsc.setup(cls, 1, ['settings', 'servers'], browser='chrome')
super(TestWebSettingRegularUserChrome, cls).setUpClass()
cls.server = cls.gvar['user'] + '-wis1'
cls.user = cls.gvar['user'] + '-wiu1'
cls.global_group = cls.gvar['user'] + '-wig1'
print("\nUser Settings Tests (Chrome) (Regular User):")
except:
print("Error in test setup")
super(TestWebSettingRegularUserChrome, cls).tearDownClass()
raise
if __name__ == "__main__":
runner = unittest.TextTestRunner(verbosity=2)
tests = [ TestWebSettingSuperUserFirefox, TestWebSettingRegularUserFirefox,
TestWebSettingSuperUserChromium, TestWebSettingRegularUserChromium,
TestWebSettingSuperUserOpera, TestWebSettingRegularUserOpera,
TestWebSettingSuperUserChrome, TestWebSettingRegularUserChrome ]
suite = helpers.parse_command_line_arguments(sys.argv, tests, True)
runner.run(suite)
| 49.670695
| 148
| 0.689557
| 1,998
| 16,441
| 5.460961
| 0.100601
| 0.063056
| 0.05719
| 0.029603
| 0.774723
| 0.740354
| 0.714967
| 0.698561
| 0.698561
| 0.65466
| 0
| 0.005806
| 0.20382
| 16,441
| 330
| 149
| 49.821212
| 0.827731
| 0.165136
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| 0.019701
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| 0.114625
| 1
| 0.118577
| false
| 0.067194
| 0.023715
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| 0.063241
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| null | 0
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| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
4ac7002aa7587356b18622033eb4bfa5df85326f
| 118
|
py
|
Python
|
ml_kiwi/errors.py
|
fridex/ml_kiwi
|
0033ff19a405bd731ed9c0ca9eccc0be2c7728c8
|
[
"MIT"
] | null | null | null |
ml_kiwi/errors.py
|
fridex/ml_kiwi
|
0033ff19a405bd731ed9c0ca9eccc0be2c7728c8
|
[
"MIT"
] | 1
|
2021-03-25T21:48:08.000Z
|
2021-03-25T21:48:08.000Z
|
ml_kiwi/errors.py
|
fridex/ml_kiwi
|
0033ff19a405bd731ed9c0ca9eccc0be2c7728c8
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
"""Error exceptions."""
class InputError(Exception):
"""Raised on invalid user input."""
| 16.857143
| 39
| 0.669492
| 14
| 118
| 5.642857
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009901
| 0.144068
| 118
| 6
| 40
| 19.666667
| 0.772277
| 0.584746
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 1
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
4368b7a666228394bdde1680f87eedc1904ae69b
| 165
|
py
|
Python
|
test/unit/__init__.py
|
muchu1983/104_mops
|
9530fee6999b7536cb5550d7be4c94baf186b19b
|
[
"BSD-3-Clause"
] | null | null | null |
test/unit/__init__.py
|
muchu1983/104_mops
|
9530fee6999b7536cb5550d7be4c94baf186b19b
|
[
"BSD-3-Clause"
] | null | null | null |
test/unit/__init__.py
|
muchu1983/104_mops
|
9530fee6999b7536cb5550d7be4c94baf186b19b
|
[
"BSD-3-Clause"
] | null | null | null |
"""
Copyright (C) 2015, MuChu Hsu
Contributed by Muchu Hsu (muchu1983@gmail.com)
This file is part of BSD license
<https://opensource.org/licenses/BSD-3-Clause>
"""
| 23.571429
| 46
| 0.739394
| 26
| 165
| 4.692308
| 0.884615
| 0.131148
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.062069
| 0.121212
| 165
| 7
| 47
| 23.571429
| 0.77931
| 0.951515
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
4371626e39528a9a7d6ae2f5d35ba717aa8169d8
| 220
|
py
|
Python
|
what_apps/service/forms.py
|
SlashRoot/WHAT
|
69e78d01065142446234e77ea7c8c31e3482af29
|
[
"MIT"
] | null | null | null |
what_apps/service/forms.py
|
SlashRoot/WHAT
|
69e78d01065142446234e77ea7c8c31e3482af29
|
[
"MIT"
] | null | null | null |
what_apps/service/forms.py
|
SlashRoot/WHAT
|
69e78d01065142446234e77ea7c8c31e3482af29
|
[
"MIT"
] | null | null | null |
from django import forms
from what_apps.utility.forms import GenericPartyField, JqueryDatePicker
class MostBasicServiceCheckInForm(forms.Form):
customer = GenericPartyField()
projected = JqueryDatePicker()
| 27.5
| 71
| 0.8
| 20
| 220
| 8.75
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140909
| 220
| 7
| 72
| 31.428571
| 0.925926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
43a5cc741544744b962a7294931fb17aec04fbd2
| 124
|
py
|
Python
|
CrossCafe/menu/apps.py
|
kidaman/Cafeteria
|
c5e74923a8fcbb7767017bec085e13aaf9411909
|
[
"BSD-3-Clause"
] | null | null | null |
CrossCafe/menu/apps.py
|
kidaman/Cafeteria
|
c5e74923a8fcbb7767017bec085e13aaf9411909
|
[
"BSD-3-Clause"
] | 1
|
2020-06-05T17:31:20.000Z
|
2020-06-05T17:31:20.000Z
|
CrossCafe/menu/apps.py
|
kidaman/Cafeteria
|
c5e74923a8fcbb7767017bec085e13aaf9411909
|
[
"BSD-3-Clause"
] | 4
|
2019-11-29T07:03:08.000Z
|
2022-02-15T05:12:30.000Z
|
from __future__ import unicode_literals
from django.apps import AppConfig
class MenuConfig(AppConfig):
name = 'menu'
| 15.5
| 39
| 0.782258
| 15
| 124
| 6.133333
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16129
| 124
| 7
| 40
| 17.714286
| 0.884615
| 0
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| 0
| 0.032258
| 0
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| 0
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| 1
| 0
| false
| 0
| 0.5
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| null | 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
43bda08b616bdc89f9b427f3df7127ec8f568c2b
| 812
|
py
|
Python
|
db/cache.py
|
BernarBerdikul/Auth_sprint_2
|
9286803f7e073456b2f02f2072072773331b9e5b
|
[
"BSD-3-Clause"
] | null | null | null |
db/cache.py
|
BernarBerdikul/Auth_sprint_2
|
9286803f7e073456b2f02f2072072773331b9e5b
|
[
"BSD-3-Clause"
] | null | null | null |
db/cache.py
|
BernarBerdikul/Auth_sprint_2
|
9286803f7e073456b2f02f2072072773331b9e5b
|
[
"BSD-3-Clause"
] | null | null | null |
from abc import ABC, abstractmethod
from typing import Union
class AbstractCache(ABC):
def __init__(self, cache_instance):
self.cache = cache_instance
@abstractmethod
def get(self, key: str, **kwargs):
pass
@abstractmethod
def add_token(self, key: str, expire: int, value: Union[bytes, str]):
pass
@abstractmethod
def delete_token(self, key: str):
pass
@abstractmethod
async def is_jti_blacklisted(self, jti):
pass
@abstractmethod
def save_access_history(self, user_id: str, access_history: str):
pass
@abstractmethod
def get_access_history(self, user_id: str):
pass
@abstractmethod
async def close(self):
pass
@abstractmethod
def pipeline(self, **kwargs):
pass
| 20.3
| 73
| 0.644089
| 95
| 812
| 5.326316
| 0.378947
| 0.249012
| 0.20751
| 0.059289
| 0.211462
| 0.102767
| 0
| 0
| 0
| 0
| 0
| 0
| 0.272167
| 812
| 39
| 74
| 20.820513
| 0.856176
| 0
| 0
| 0.551724
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.241379
| false
| 0.275862
| 0.068966
| 0
| 0.344828
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
78f72166c88adca1fec2728b49b755d72c0addd3
| 91
|
py
|
Python
|
attack-defence-challenges/tastyriffs/service/generate_pic.py
|
wongwaituck/crossctf-2017-finals-public
|
bb180bcb3fdb559b7d7040fbe01c4fca98322f11
|
[
"MIT"
] | 6
|
2017-06-26T15:07:19.000Z
|
2018-10-09T20:03:27.000Z
|
attack-defence-challenges/tastyriffs/service/generate_pic.py
|
wongwaituck/crossctf-2017-finals-public
|
bb180bcb3fdb559b7d7040fbe01c4fca98322f11
|
[
"MIT"
] | null | null | null |
attack-defence-challenges/tastyriffs/service/generate_pic.py
|
wongwaituck/crossctf-2017-finals-public
|
bb180bcb3fdb559b7d7040fbe01c4fca98322f11
|
[
"MIT"
] | 1
|
2018-08-18T00:49:02.000Z
|
2018-08-18T00:49:02.000Z
|
#!/usr/bin/python
import random
file("/picpic", "w").write(str(random.getrandbits(128)))
| 15.166667
| 56
| 0.692308
| 13
| 91
| 4.846154
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.035714
| 0.076923
| 91
| 5
| 57
| 18.2
| 0.714286
| 0.175824
| 0
| 0
| 0
| 0
| 0.108108
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| true
| 0
| 0.5
| 0
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| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
78fa5b6c6a895cb04e1813462ed6a7eefd8c1fa6
| 102
|
py
|
Python
|
configs/fp16/faster_rcnn_r50_fpn_fp16_1x_coco.py
|
evgps/mmdetection_trashcan
|
aaf4237c2c0d473425cdc7b741d3009177b79751
|
[
"Apache-2.0"
] | 426
|
2020-10-16T08:09:27.000Z
|
2022-03-30T03:36:04.000Z
|
configs/fp16/faster_rcnn_r50_fpn_fp16_1x_coco.py
|
evgps/mmdetection_trashcan
|
aaf4237c2c0d473425cdc7b741d3009177b79751
|
[
"Apache-2.0"
] | 170
|
2020-09-08T12:29:06.000Z
|
2022-03-31T18:28:09.000Z
|
configs/fp16/faster_rcnn_r50_fpn_fp16_1x_coco.py
|
evgps/mmdetection_trashcan
|
aaf4237c2c0d473425cdc7b741d3009177b79751
|
[
"Apache-2.0"
] | 84
|
2021-05-29T06:58:14.000Z
|
2022-03-31T07:44:10.000Z
|
_base_ = '../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py'
# fp16 settings
fp16 = dict(loss_scale=512.)
| 25.5
| 56
| 0.77451
| 17
| 102
| 4.117647
| 0.823529
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107527
| 0.088235
| 102
| 3
| 57
| 34
| 0.645161
| 0.127451
| 0
| 0
| 0
| 0
| 0.517241
| 0.517241
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
60112066e6713ad167ed0d5ecce63b1b18fb6a6e
| 776
|
py
|
Python
|
symphony/cli/pyinventory/graphql/input/file.py
|
rohan-prasad/magma
|
2c1f36d2fd04eae90366cc8b314eaab656d7f8ad
|
[
"BSD-3-Clause"
] | null | null | null |
symphony/cli/pyinventory/graphql/input/file.py
|
rohan-prasad/magma
|
2c1f36d2fd04eae90366cc8b314eaab656d7f8ad
|
[
"BSD-3-Clause"
] | 6
|
2021-03-31T19:59:59.000Z
|
2022-01-22T12:56:47.000Z
|
symphony/cli/pyworkforce/graphql/input/file.py
|
fbcode/magma_old
|
054ef8e079478bda36d2b13b8a88386c6dc94ef2
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python3
# @generated AUTOGENERATED file. Do not Change!
from dataclasses import dataclass
from datetime import datetime
from functools import partial
from gql.gql.datetime_utils import DATETIME_FIELD
from numbers import Number
from typing import Any, Callable, List, Mapping, Optional
from dataclasses_json import DataClassJsonMixin
from gql.gql.enum_utils import enum_field
from ..enum.file_type import FileType
@dataclass
class FileInput(DataClassJsonMixin):
fileName: str
storeKey: str
id: Optional[str] = None
sizeInBytes: Optional[int] = None
modificationTime: Optional[int] = None
uploadTime: Optional[int] = None
fileType: Optional[FileType] = None
mimeType: Optional[str] = None
annotation: Optional[str] = None
| 27.714286
| 57
| 0.76933
| 97
| 776
| 6.092784
| 0.474227
| 0.055838
| 0.076142
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001536
| 0.161082
| 776
| 27
| 58
| 28.740741
| 0.906298
| 0.08634
| 0
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| 1
| 0
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| true
| 0
| 0.45
| 0
| 0.95
| 0
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| 0
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| 0
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| 0
| 0
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| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
6031013dab2ea2a78f0cf45da5f5aa2584ff113c
| 133
|
py
|
Python
|
pyiArduinoI2Cencoder/setup.py
|
tremaru/pyiArduinoI2Cencoder
|
acd3e8fc48c29d1027740174c860307459915da6
|
[
"MIT"
] | null | null | null |
pyiArduinoI2Cencoder/setup.py
|
tremaru/pyiArduinoI2Cencoder
|
acd3e8fc48c29d1027740174c860307459915da6
|
[
"MIT"
] | null | null | null |
pyiArduinoI2Cencoder/setup.py
|
tremaru/pyiArduinoI2Cencoder
|
acd3e8fc48c29d1027740174c860307459915da6
|
[
"MIT"
] | null | null | null |
from distutils.core import setup
from Cython.Build import cythonize
setup(
ext_modules = cythonize("pyiArduinoI2Cencoder.pyx")
)
| 16.625
| 53
| 0.796992
| 16
| 133
| 6.5625
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008621
| 0.12782
| 133
| 7
| 54
| 19
| 0.896552
| 0
| 0
| 0
| 0
| 0
| 0.180451
| 0.180451
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 1
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| 0
| null | 0
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| 0
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| 1
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| 0
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| 0
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| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
6058a561379080c85b5c215884d6d2318f8416aa
| 160
|
py
|
Python
|
database_email/admin.py
|
fabioanderegg/django-database-email
|
2a9a1d888365db1d3b3564cf56c22a64a827d5d9
|
[
"MIT"
] | null | null | null |
database_email/admin.py
|
fabioanderegg/django-database-email
|
2a9a1d888365db1d3b3564cf56c22a64a827d5d9
|
[
"MIT"
] | null | null | null |
database_email/admin.py
|
fabioanderegg/django-database-email
|
2a9a1d888365db1d3b3564cf56c22a64a827d5d9
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import EMail
@admin.register(EMail)
class EMailAdmin(admin.ModelAdmin):
list_display = ('name', 'subject')
| 17.777778
| 38
| 0.75
| 20
| 160
| 5.95
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1375
| 160
| 8
| 39
| 20
| 0.862319
| 0
| 0
| 0
| 0
| 0
| 0.06875
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
6062f61d99ed167367673877e041abc1296b2825
| 4,920
|
py
|
Python
|
tests/test_remote_control.py
|
Albert-91/precon
|
aaded1d6a5f743b3539ea46b19a37a7bf9930e05
|
[
"MIT"
] | null | null | null |
tests/test_remote_control.py
|
Albert-91/precon
|
aaded1d6a5f743b3539ea46b19a37a7bf9930e05
|
[
"MIT"
] | null | null | null |
tests/test_remote_control.py
|
Albert-91/precon
|
aaded1d6a5f743b3539ea46b19a37a7bf9930e05
|
[
"MIT"
] | null | null | null |
import curses
from typing import Union, Callable
from unittest.mock import Mock, MagicMock
import pytest
from pytest_mock import MockerFixture
from precon.remote_control import steer_vehicle, Screen
@pytest.fixture()
def patch_screen() -> Callable[[Union[str, int]], Mock]:
def inner(key: Union[str, int]) -> Mock:
screen = MagicMock(Screen)
if isinstance(key, str):
key = ord(key)
screen.get_pressed_char = Mock(side_effect=[key, ord("q")])
return screen
return inner
@pytest.fixture()
def distance_ahead_to_stop() -> int:
return 3
@pytest.fixture()
def patch_gpio(mocker: MockerFixture) -> None:
mocker.patch("precon.remote_control.fake_rpi.RPi.GPIO.output")
@pytest.fixture()
def patch_print(mocker: MockerFixture) -> None:
mocker.patch("builtins.print")
@pytest.fixture()
def patch_time(mocker: MockerFixture) -> None:
mocker.patch("precon.devices_handlers.driving_engines.time")
@pytest.mark.parametrize(
"key, called_function",
[
(curses.KEY_DOWN, "drive_backward"),
("s", "drive_backward"),
(curses.KEY_LEFT, "turn_left"),
("a", "turn_left"),
(curses.KEY_RIGHT, "turn_right"),
("d", "turn_right"),
],
)
@pytest.mark.asyncio
async def test_drive_on_pressed_keys(
mocker: MockerFixture,
patch_screen: Callable[[Union[str, int]], Mock],
patch_gpio: None,
patch_print: None,
patch_time: None,
key: Union[int, str],
called_function: str,
) -> None:
drive_func = mocker.patch(f"precon.remote_control.{called_function}")
mocker.patch("precon.remote_control.get_distance", return_value=distance_ahead_to_stop)
screen = patch_screen(key)
await steer_vehicle(screen)
drive_func.assert_called_once()
@pytest.mark.parametrize(
"key",
[
curses.KEY_UP,
"w",
],
)
@pytest.mark.asyncio
async def test_drive_forward_on_pressed_keys(
mocker: MockerFixture,
patch_screen: Callable[[Union[str, int]], Mock],
patch_gpio: None,
patch_print: None,
patch_time: None,
key: Union[int, str],
distance_ahead_to_stop: int,
) -> None:
drive_func = mocker.patch("precon.remote_control.drive_forward")
distance_allows_to_drive = distance_ahead_to_stop + 1
mocker.patch("precon.remote_control.get_distance", return_value=distance_allows_to_drive)
screen = patch_screen(key)
await steer_vehicle(screen)
drive_func.assert_called_once()
@pytest.mark.parametrize(
"key",
[
curses.KEY_UP,
"w",
curses.KEY_DOWN,
"s",
curses.KEY_LEFT,
"a",
curses.KEY_RIGHT,
"d",
],
)
@pytest.mark.asyncio
async def test_stop_after_each_drive(
mocker: MockerFixture,
patch_screen: Callable[[Union[str, int]], Mock],
distance_ahead_to_stop: int,
patch_gpio: None,
patch_print: None,
patch_time: None,
key: Union[int, str],
) -> None:
mocker.patch("precon.remote_control.get_distance", return_value=distance_ahead_to_stop + 1)
stop_func = mocker.patch("precon.devices_handlers.driving_engines.stop_driving")
screen = patch_screen(key)
await steer_vehicle(screen)
stop_func.assert_called_once()
@pytest.mark.parametrize(
"key",
[
curses.KEY_UP,
"w",
],
)
@pytest.mark.asyncio
async def test_stop_when_distance_ahead_is_equal_or_less_than_3_and_robot_is_driving_forward(
mocker: MockerFixture,
patch_screen: Callable[[Union[str, int]], Mock],
distance_ahead_to_stop: int,
patch_gpio: None,
patch_print: None,
patch_time: None,
key: Union[int, str],
) -> None:
drive_func = mocker.patch("precon.remote_control.drive_forward")
stop_func = mocker.patch("precon.remote_control.stop_driving")
mocker.patch("precon.remote_control.get_distance", return_value=distance_ahead_to_stop)
screen = patch_screen(key)
await steer_vehicle(screen)
stop_func.assert_called_once()
drive_func.assert_not_called()
@pytest.mark.parametrize(
"key, called_function",
[
(curses.KEY_DOWN, "drive_backward"),
("s", "drive_backward"),
(curses.KEY_LEFT, "turn_left"),
("a", "turn_left"),
(curses.KEY_RIGHT, "turn_right"),
("d", "turn_right"),
],
)
@pytest.mark.asyncio
async def test_not_stop_when_distance_ahead_is_equal_or_less_than_3(
mocker: MockerFixture,
patch_screen: Callable[[Union[str, int]], Mock],
distance_ahead_to_stop: int,
patch_gpio: None,
patch_print: None,
patch_time: None,
key: Union[int, str],
called_function: str,
) -> None:
drive_func = mocker.patch(f"precon.remote_control.{called_function}")
mocker.patch("precon.remote_control.get_distance", return_value=distance_ahead_to_stop)
screen = patch_screen(key)
await steer_vehicle(screen)
drive_func.assert_called_once()
| 26.031746
| 95
| 0.685976
| 634
| 4,920
| 5.009464
| 0.14511
| 0.048489
| 0.071788
| 0.059824
| 0.801952
| 0.767003
| 0.732368
| 0.679156
| 0.679156
| 0.679156
| 0
| 0.001257
| 0.19126
| 4,920
| 188
| 96
| 26.170213
| 0.796934
| 0
| 0
| 0.683871
| 0
| 0
| 0.142683
| 0.100407
| 0
| 0
| 0
| 0
| 0.03871
| 1
| 0.03871
| false
| 0
| 0.03871
| 0.006452
| 0.096774
| 0.045161
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6077cda6ae7c72a5e68168925db1a2343e29c6cf
| 247
|
py
|
Python
|
src/train_v1/features/basetransformer.py
|
yota-p/kaggle_titanic
|
36d2c53711482195f519d9280abadf0d6afa9a15
|
[
"MIT"
] | null | null | null |
src/train_v1/features/basetransformer.py
|
yota-p/kaggle_titanic
|
36d2c53711482195f519d9280abadf0d6afa9a15
|
[
"MIT"
] | 8
|
2020-12-12T10:06:14.000Z
|
2020-12-30T07:09:52.000Z
|
src/features/basetransformer.py
|
yota-p/kaggle_jane-street-market-prediction
|
c39d65652d3ce531e99efbc50926cd95cba8b466
|
[
"MIT"
] | null | null | null |
from sklearn.base import BaseEstimator, TransformerMixin
class BaseTransformer(BaseEstimator, TransformerMixin):
def fit(self, X, y=None):
raise NotImplementedError()
def transform(self, X):
raise NotImplementedError()
| 22.454545
| 56
| 0.728745
| 24
| 247
| 7.5
| 0.708333
| 0.322222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.190283
| 247
| 10
| 57
| 24.7
| 0.9
| 0
| 0
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
60814e2b20159c8725bc54429c0a8eec9011cd4b
| 216
|
py
|
Python
|
project/settings/__init__.py
|
xobb1t/ddash2013
|
d1fcd95311ab51955d5ab9c1a7ba3315c6df1afa
|
[
"MIT"
] | 1
|
2016-03-22T21:18:11.000Z
|
2016-03-22T21:18:11.000Z
|
project/settings/__init__.py
|
xobb1t/ddash2013
|
d1fcd95311ab51955d5ab9c1a7ba3315c6df1afa
|
[
"MIT"
] | null | null | null |
project/settings/__init__.py
|
xobb1t/ddash2013
|
d1fcd95311ab51955d5ab9c1a7ba3315c6df1afa
|
[
"MIT"
] | null | null | null |
import os
import sys
apps_root = os.path.join(os.path.dirname(__file__), '..', '..', 'apps')
apps_root = os.path.normpath(os.path.abspath(apps_root))
if apps_root not in sys.path:
sys.path.insert(0, apps_root)
| 24
| 71
| 0.703704
| 37
| 216
| 3.864865
| 0.432432
| 0.27972
| 0.13986
| 0.195804
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005263
| 0.12037
| 216
| 8
| 72
| 27
| 0.747368
| 0
| 0
| 0
| 0
| 0
| 0.037037
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
60ac0a187fa44a641b8ef6ec740c9955f036b418
| 249
|
py
|
Python
|
RecoLocalMuon/GEMRecHit/python/gemLocalReco_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 852
|
2015-01-11T21:03:51.000Z
|
2022-03-25T21:14:00.000Z
|
RecoLocalMuon/GEMRecHit/python/gemLocalReco_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 30,371
|
2015-01-02T00:14:40.000Z
|
2022-03-31T23:26:05.000Z
|
RecoLocalMuon/GEMRecHit/python/gemLocalReco_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 3,240
|
2015-01-02T05:53:18.000Z
|
2022-03-31T17:24:21.000Z
|
import FWCore.ParameterSet.Config as cms
from RecoLocalMuon.GEMRecHit.gemRecHits_cfi import *
from RecoLocalMuon.GEMSegment.gemSegments_cfi import *
gemLocalRecoTask = cms.Task(gemRecHits,gemSegments)
gemLocalReco = cms.Sequence(gemLocalRecoTask)
| 31.125
| 54
| 0.851406
| 27
| 249
| 7.777778
| 0.62963
| 0.161905
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080321
| 249
| 7
| 55
| 35.571429
| 0.917031
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
60bc4570bf45b9c016cb1dbafc753016dd044530
| 78
|
py
|
Python
|
DailyData/analyzer/config.py
|
JEElsner/DailyData
|
17d430af52922cc0b60ba57abb8e42de576d942c
|
[
"MIT"
] | 1
|
2021-01-04T07:05:07.000Z
|
2021-01-04T07:05:07.000Z
|
DailyData/analyzer/config.py
|
JEElsner/DailyData
|
17d430af52922cc0b60ba57abb8e42de576d942c
|
[
"MIT"
] | null | null | null |
DailyData/analyzer/config.py
|
JEElsner/DailyData
|
17d430af52922cc0b60ba57abb8e42de576d942c
|
[
"MIT"
] | null | null | null |
from dataclasses import dataclass
@dataclass
class AnalyzerConfig:
pass
| 11.142857
| 33
| 0.794872
| 8
| 78
| 7.75
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179487
| 78
| 6
| 34
| 13
| 0.96875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.25
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
60c1c683dfa89be1cff99636f94a31c56e39e980
| 1,561
|
py
|
Python
|
mincntr/api.py
|
dims/mincntr
|
480fa7dc861a5fc10f2a6f0d67e90dec76bc435e
|
[
"Apache-2.0"
] | 1
|
2016-05-13T04:06:28.000Z
|
2016-05-13T04:06:28.000Z
|
mincntr/api.py
|
dims/mincntr
|
480fa7dc861a5fc10f2a6f0d67e90dec76bc435e
|
[
"Apache-2.0"
] | null | null | null |
mincntr/api.py
|
dims/mincntr
|
480fa7dc861a5fc10f2a6f0d67e90dec76bc435e
|
[
"Apache-2.0"
] | null | null | null |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import collections
import abc
import six
Container = collections.namedtuple('Container', ['uuid', 'name'])
@six.add_metaclass(abc.ABCMeta)
class APIBase(object):
@abc.abstractmethod
def list(self):
pass
@abc.abstractmethod
def create(self, name, image, **kwargs):
pass
@abc.abstractmethod
def start(self, container_uuid):
pass
@abc.abstractmethod
def stop(self, container_uuid):
pass
@abc.abstractmethod
def restart(self, container_uuid):
pass
@abc.abstractmethod
def pause(self, container_uuid):
pass
@abc.abstractmethod
def unpause(self, container_uuid):
pass
@abc.abstractmethod
def delete(self, container_uuid):
pass
@abc.abstractmethod
def inspect(self, container_uuid):
pass
@abc.abstractmethod
def logs(self, container_uuid):
pass
@abc.abstractmethod
def execute(self, container_uuid, command):
pass
| 24.390625
| 77
| 0.679052
| 194
| 1,561
| 5.412371
| 0.469072
| 0.178095
| 0.209524
| 0.228571
| 0.312381
| 0.312381
| 0.312381
| 0
| 0
| 0
| 0
| 0.00337
| 0.23959
| 1,561
| 64
| 78
| 24.390625
| 0.881213
| 0.347213
| 0
| 0.564103
| 0
| 0
| 0.016865
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.282051
| false
| 0.282051
| 0.076923
| 0
| 0.384615
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
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| 0
| 0
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| 0
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| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
60e149048564b8a278eac059d25922d3d0584135
| 151
|
py
|
Python
|
20140408/answer/answer.py
|
honux77/dailyCode
|
a5adcaba98197a0bca589e667f237c47e0f2d9f5
|
[
"MIT"
] | 2
|
2016-03-23T02:09:25.000Z
|
2016-08-28T07:41:24.000Z
|
20140408/answer/answer.py
|
honux77/dailyCode
|
a5adcaba98197a0bca589e667f237c47e0f2d9f5
|
[
"MIT"
] | null | null | null |
20140408/answer/answer.py
|
honux77/dailyCode
|
a5adcaba98197a0bca589e667f237c47e0f2d9f5
|
[
"MIT"
] | null | null | null |
class Solution:
# @param A, a list of integer
# @return an integer
def singleNumber(self, A):
return reduce(lambda x, y: x ^ y, A)
| 25.166667
| 44
| 0.602649
| 23
| 151
| 3.956522
| 0.695652
| 0.043956
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.291391
| 151
| 5
| 45
| 30.2
| 0.850467
| 0.304636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
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